Regulator-Ready Business Risk Assessment for VASPs in UAE

Benefits of Well-Articulated Business Risk Assessment

Pathik Shah

Q: What are the characteristics of white collar crime?

They generally involve deception, breach of trust, complex financial manipulation and non-violent conduct carried out for financial benefit.

Last Updated: 12/09/2025

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Business Risk Assessment for VASPs: At a Glance

Business Risk Assessment helps VASPs identify, assess and mitigate ML/TF/PF Risks.
Covers key risk factors for VASPs: Customers, Geography, Transactions, Products/Services, Delivery Channels.
Business Risk Assessment must be aligned with the VARA Rulebook, Federal AML/CFT Laws, UAE NRA and other sectoral risk assessments.
VASPs must regularly update BRA to reflect new products, typologies and emerging risks.
A Robust BRA supports stronger controls, enhanced decision making and regulator-ready compliance.

Regulator-Ready Business Risk Assessment for VASPs in UAE

A Business Risk Assessment (BRA) is a structured analytical process for Virtual Assets Service Providers (VASPs) in UAE. It assesses the nature of VASP’s business model, customer base, products, technologies and transaction patterns with an aim to determine the impact of these factors in exposing the business to financial crime risks.

The BRA facilitates identification of the inherent risks, evaluation of the already implemented control measures, calculation of the residual risks and is based on the risk appetite of VASPs. BRA provides insights into the actual Money Laundering (ML), Terrorist Financing (TF), and Proliferation Financing (PF) risks the business is exposed to.

Why VASPs Require a Structured BRA?

VASPs operate in an ecosystem where transactions move fast, across borders and often without traditional financial intermediaries. It offers a platform which covers anonymity in financial transactions. And it is a consensus that where anonymity lies, the chances of ML/TF/PF risks are higher.

Unlike traditional financial transactions, in VASPs, the activities happen without face-to-face interaction, and users may deposit or withdraw funds from anywhere in the world.

This creates a business environment where risks are not always visible on the surface. In order to get a comprehensive view of the ML/TF/PF threats, VASPs are required to undertake a structured BRA.

Business Risk Assessment through risk weighing and risk scoring provides a foretelling vision into the risk areas that are more vulnerable to the chain of financial crimes.

A well-done BRA helps a VASP break down the risk factors in a systematic way instead of relying on assumptions or scattered observations.

It ensures that the VASP get a full vision to understand where its vulnerabilities lie, how its products can be misused, which controls are working and which aren’t, and how it is exposed to on-chain threats.

Without a structured BRA, VASP is essentially operating in the dark, making decisions without a clear grasp of its own risk exposure. An efficiently conducted Business Risk Assessment not only protects the business from probable financial crimes but also ensures that resources are prioritized in a better manner, specifically in areas that are weak.

Regulatory Mandate for VASPs to Conduct BRA under AML/CFT Framework of UAE

Virtual Assets Service Providers (VASPs) in UAE are regulated and supervised by Virtual Assets Regulatory Authority (VARA). VARA issues periodic guidelines and rulebooks that VASPs are obligated to adhere.

The Virtual Assets and Related Activities Regulations 2023 recognise the Federal AML/CFT Laws (Federal Decree by Law No. (10) of 2025 Regarding Anti-Money Laundering and Combating the Financing of Terrorism and Proliferation Financing and its implementing Cabinet Decision No. (10) of 2019).

It mandates VASPs to comply with all Federal AML/CFT Laws, regulatory requirements, rules and directives with respect to VASPs’ AML/CFT obligations.

The Federal Decree by Law No. (10) of 2025 calls for a comprehensive Business Risk Assessment for VASPs to identify, assess and mitigate the ML/TF/PF within the business model.

Additionally, VARA rulebook Part III D talks about the Business Risk Assessment obligations of VASPs.

Rule III.D of VARA rulebook requires VASPs to conduct and maintain a documented and data-driven AML/CFT Business Risk Assessment in order to understand, identify and assess ML/TF risks specific to their business.

BRA must be carried out at least once every 3 months, and when there are changes in business model, products/services, customer base, technology, or new regulatory requirements. The AML/CFT policies, procedures, systems, and controls must align with the BRA, and high-risk areas must be prioritized for resource allocation.

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Key Risk Factors VASPs Must Consider for Effective BRA

An effective BRA starts with identifying what can expose a VASP to financial crime risks. The risk is often enveloped in the form of customers, jurisdictions, transactions, products, services and delivery channels.

Evaluating these areas helps the VASP build a realistic picture of where vulnerabilities exist. While conducting Business Risk Assessment, VASPs must consider risk factors related to these key areas.

The following infographic depicts the key risk factors VASPs must take into consideration while performing Business-Wide Risk Assessment.

Customer Related Risk Factors

While conducting Enterprise-Wide Risk Assessment (EWRA), the VASP must assess customer profiles, behavior patterns and wallet activities. Factors such as weak KYC data, customers with cloudy sources of funds, PEPs, high-net worth individuals dealing in large volumes or showing inconsistent behavior increase vulnerability.

Assessing these risks helps VASPs understand which customer segments require additional AML/CFT controls, such as Enhanced Due Diligence (EDD)to prevent misuse of the platform.

Geography Related Risk Factors

Another major key factor to consider while conducting Business-Wide Risk Assessment is to analyze VASP’s risk exposure through where customers and counterparties are located. Crypto flows are borderless, that makes the destination of originators and beneficiaries a major risk factor.

Hence, considering geographic risk in the BRA helps the VASPs to identify potential links to high-risk or sanctioned nations and jurisdictions associated with illicit crypto flows.

Transaction Related Risk Factors

In the Virtual Assets sector, the transactions are pseudonymous, which is a major risk factor for financial crime if controls are not deployed appropriately. Therefore, while conducting a comprehensive Business Risk Assessment, VASPs are required to consider transaction related risk factors.

This includes sudden spikes in transactions, irregular or unusual transaction patterns, bizarre amounts and frequency of transactions that have no logical explanation, source of funds or wealth that have traces to criminal activities.

Products and Services Related Risk Factors

In the Virtual Assets sector, different crypto products carry different inherent risks. These include trading platforms with high-value movement, NFT platforms with anonymized transfers or OTC desks dealing in large, off-exchange transactions.

Evaluating the risk of particular products and services that VASPs offer allows them to understand the offerings which are more vulnerable to ML/TF/PF activities. This facilitates putting additional AML/CFT controls at places that are weak.

Delivery Channel Related Risk Factors

While developing the business risk profile, VASPs must consider delivery channel related risk factors, as how users access the VASPs affects the likelihood of abuse. For instance, online onboarding may face identity spoofing, API-based services can enable high-speed activities, and integration with third-party platforms may introduce risks that VASPs cannot fully control.

Therefore, assessing delivery channel related risks helps the VASPs to identify where additional verifications or oversight mechanisms are required.

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Step-by-Step Guide for VASPs to Undertake Comprehensive Business Risk Assessment

VASPs often feel overwhelmed to conduct an effective BRA, especially because the Virtual Assets ecosystem moves fast and ML/TF risks evolve even faster. A structured step-by-step approach helps bring clarity to this process.

Key steps for VASPs to undertake an extensive Business Risk Assessment include

collecting business data, categorizing risks,
developing methodology for risk calculations,
assessing inherent risk, evaluating control measures,
finding residual risk,
conducting gap analysis of findings, documenting it, and
preparing the final BRA report.

The below infographic illustrates the chronological approach for VASPs to conduct efficient Enterprise-Wide Risk Assessment.

Collecting and Mapping Business Data

The process of Business Risk Assessment (BRA) for VASPs begins with collecting all relevant information regarding the operating model through a customized questionnaire. This involves collecting structured data on customer types, regions, products, transactions and delivery channels. Further, the analysis of the National Risk Assessment and Sectoral Risk Assessment is performed to ensure thorough compliance with them.

Through mapping of this information, VASP establishes a factual basis that anchors the entire risk assessment. It ensures that every decision is grounded in how the business truly functions rather than mere assumptions.

Identifying and Categorizing Risks

Once the data mapping process is over, identifying and categorizing risks based on the gathered data takes place. VASPs disambiguate the collected data and scatter into different risk factors.

This includes categorizing possible risks such as risky customers, high-risk countries, complex products, unusual transactions, weak onboarding channel, etc.

These risks are later grouped into categories, so they are easy to analyze. In simpler terms, this step basically is to recognize “Where can things go wrong”.

Developing a Structured Methodology for Risk Calculation

Post categorizing the risk into different risk factors, VASPs develops a structured methodology for risk calculation.

Designing a repeatable and auditable approach, defining scales and risk weightings (likelihood, impact), outlining qualitative and quantitative thresholds, specifying how to combine scores (matrix, weighted average), and setting governance rules for calibration, helps VASPs in turning a list of risks into a measurable framework.

Assessing Inherent Risks

Post determining a structured methodology for risk calculation, the inherent risk of the VASP’s business model is evaluated. Inherent risk is basically the ML/TF/PF risk that is omnipresent in the business from its inception, before applying any controls.

To assess the inherent risk, the likelihood of occurrence or materialization of identified ML/TF risk and the impact of that risk on the VASP is calculated using both quantitative and qualitative methods.

Evaluating Mitigation Controls

Once the inherent risk of the VASP is identified, the following process is to evaluate the mitigating controls that are already present in the business.

This includes checking the efficacy of AML/CFT Policies and Procedures, KYC Processes, Screening tools, Transaction Monitoring rules, Regulatory Reporting pathways and other control measures.

Determining the Residual Risks

After evaluating the effectiveness of mitigation controls, the subsequent stage is to determine the level of residual risks. Residual risk is basically ML/TF risk that is remaining in VASP after safeguards.

Residual Risk in VASP business model is calculated through a structured methodology that is inherent risk minus the controls. This uniform approach helps VASPs to produce consistent residual ratings across risk categories.

Conducting Gap Analysis

After assigning the residual risk score to each risk category, the following workflow is to conduct a gap analysis. Undertaking analysis of differences with reference to the risk appetite of the VASP provides a full insight into the actual weaker areas and facilitates developing a roadmap that is required to fulfill that gap.

These gaps are subjective and can differ from entity to entity, as it depends on the individual risk appetite. For VASPs, conducting a thorough gap analysis is of utmost importance as it shows the strengths and weaknesses of the business through raw approach.

Documenting Findings and Risk Scoring

Following the gap analysis, documenting the findings and ultimate risk scoring captures the full assessment in a structured record for VASPs. This documentation also includes recording risk inventory, scoring rationale, data inputs, control assessments and version history in an organized manner.

The explanation and logic for reaching the final risk scoring are required to be documented. Thorough documentation ensures transparency and reduces the chances of errors.

Preparing the Final BRA Report

The final stage of an effective Business Risk Assessment for VASPs is preparing the final BRA report. It is a consolidated report that summarizes the VASP’s risk posture, high-risk exposure areas, key vulnerabilities, and residual risk priorities, along with a thorough recommended remediation plan.

This action plan outlines resource allocation, suggests updating AML/CFT policies/procedures and provides a roadmap for effective implementation and impactful decision-making to combat the risk of ML/TF/PF activities.

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Unlocking the Benefits of Business Risk Assessment for VASPs in UAE

The advantages of a well-articulated Business Risk Assessment show up across the entire organization. It sharpens the way business understands its risk exposure, highlights which areas need stronger controls and removes guesswork from decision-making.

Provides a Multidimensional and Balanced View of ML/TF/PF Risks

A robust Business Risk Assessment provides a comprehensive perspective on ML/TF/PF risks that a VASP is exposed to. It takes multiple dimensions into consideration, such as customer related risks, geographical risks, product/services related risks, delivery channel and transaction patterns related risks.

This multidimensional approach offered by BRA enables VASPs to make nuanced risk-based decisions regarding financial crime risk management and controls.

Facilitates the Development of an Informed and Curated ML/TF/PF Risk Appetite

A Well-defined and analyzed Business-Wide Risk Assessment (BWRA) provides VASPs a clear vision into their risk areas.

Moreover, it offers necessary data to VASPs to understand the exposure of financial crimes to their business model. That helps them to develop an informed and carefully curated ML/TF/PF risk appetite commensurate with the nature, size and risk exposure of the VASPs.

Drives Efficient Allocation of Resources Towards ML/TF/PF Risk Management

An efficient Business Risk Assessment framework ensures that resources are deployed appropriately. It facilitates VASPs to prioritize areas that pose a high risk of ML/TF/PF activities and reduces underutilization of its resources.

By analyzing each risk area it helps VASPs to plan their risk management efforts to optimize their AML/CFT/CPF compliance.

Strengthens Competence in ML/TF/PF Risk Management

An effective BRA framework enhances the overall competency of VASPs in managing financial crime risks. With the right assessment of risk exposure, calculation of inherent risk, residual risks and evaluation of control measures, VASPs help to build a more knowledgeable and risk-aware workforce.

It supports data-driven decision making, ensuring management of financial crime risks.

Ensures Alignment with National Risk Assessment and Sectoral Risk Assessment

An efficient BRA framework ensures that a VASP aligns with the findings of the National Risk Assessment and Sectoral Risk Assessments.

By incorporating outcomes from these assessments, VASPs can enhance their understanding of ML/TF/PF risks.

Supports Long-Term Growth Through Risk-Informed Decisions

A good Business-Risk Assessment helps VASPs to understand where risks are and how to manage them.

This lets the business make smarter decisions, plan safely and grow without unexpected problems. Over time, it builds a stronger and more stable business.

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Repeated Mistakes VASPs Made While Performing BRA

Despite clearly defined regulatory expectations, many VASPs fall into similar traps when conducting BRA. The basic mistakes often repeated by VASPs often come from rushing the process with unrealistic risk scoring, misalignment with the actual business model, absence of documentation and treating the Business Risk Assessment as a single time exercise.

These mistakes often weaken the objective of conducting Business Risk Assessment and end up introducing VASPs to regulatory penalties when expectations of regulators are not met.

The infographic below demonstrates the common mistakes replicated by VASPs while performing Business Risk Assessment.

Treating BRA as One-Time Exercise

There is a wide-spread misjudgment among VASPs that Business Risk Assessment is a single time exercise. The BRA is mistakenly treated as a static document instead of a living assessment.

This results in BRA that no longer reflects the VASP’s real ML/TF/PF exposure as the risk factors affecting it keep changing. The approach to treating Business Risk Assessment as One-time activity quickly makes it outdated.

Not Aligning BRA with Actual Business Model

Some VASPs prepare BRA that appears good on paper; however, they lack the substance. The prepared Business Risk Assessment does not resonate with the actual business model, its products, customers, supply chains, or transaction patterns.

Inaccurate representation makes risk assessment theoretical rather than practical. A BRA that is disconnected from the core business model cannot lead to true and effective decision-making.

Ignoring On-Chain Typologies and Virtual Assets Red Flags

One of the major roadblocks for VASPs to conduct an effective Business Risk Assessment is focusing on traditional financial crime risks while ignoring the Blockchain-specific ML/TF/PF Typologies.

The nature of the Virtual Assets (VA) Sector is quite different from the basic financial or DNFBPs sector. And this uniqueness requires a unique approach, which VASPs fail to implement.

Failing to consider VA specific red flags and typologies in the BRA underestimates the real risk exposure and weakens monitoring strategies.

Weak Documentation and Lack of Supporting Evidence

A lot of VASPs lag behind in preparing regulator-ready BRA because the findings are not supported by a clear rationale, data and evidence. The assessment tends difficult to defend during audits or regulatory reviews due to illogical, scattered and undocumented assumptions.

A strong BRA requires a documented methodology, scoring explanations and consistent use of risk metrices. The failure to incorporate these practices in BRA makes it sluggish and incompetent.

Unrealistic Residual Risk Ratings

A very common mistake repeated across multiple VASPs is the inefficiency in realistically rating the residual risks.

Residual Risk is a very important aspect of an accurate Business Risk Assessment, as it paves the way for sound decision-making and gives a real idea of financial crime risk exposure to VASPs.

However, wrongly calculating it by overestimating control effectiveness or underestimating inherent risk exposure creates a false sense of security.

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Best Practices for VASPs to Conduct Robust BRA in Line with Regulatory Expectations

As the regulators often find Business Risk Assessment by VASPs underwhelming, here comes the savior. With the implementation of certain best practices while performing an Enterprise-Wide Risk Assessment ensures that it fulfills the regulator’s expectations.

These best practices include incorporating sector-specific risk indicators, alignment with UAE NRA and VARA, periodic updates in VA-specific typologies, leveraging AI for risk scoring, using qualitative/quantitative scoring, training employees and documenting all assumptions, data, rationale and methodologies.

Moreover, integrating the Business Risk Assessment outcomes into the internal framework and conducting quarterly reviews ensures the robustness of BRA.

The following infographic represents the best practices for VASPs to conduct BRA that are in line with the Regulatory expectations.

Incorporating Sector-Specific Risk Indicators for VASPs

For an accurate Business Risk Assessment, VASPs must include ML/TF/PF risk indicators that are specific to the Virtual Assets Sector. This includes indicators like wallet anonymity, cross-chain transfers, decentralized platforms or high-velocity trading patterns.

Embedding these VA-specific risk indicators into the BRA ensures that VASPs reflect actual threats rather than solely relying on traditional sayings.

Aligning BRA with the UAE National Risk Assessment and VARA Regulations

VASPs must ensure that it aligns Business Risk Assessment with the results of National Risk Assessment (NRA), VARA Regulations and UAE’s Federal AML/CFT Laws. The risks and industry findings identified in UAE NRA and relevant Sectoral Risk Assessments must be considered in the VASP’s risk rating methodology.

This alignment ensures that VASP’s internal view of risk matches the country’s identified threats and regulatory expectations.

Updating Typologies and Red Flags for Virtual Assets Regularly

Since financial crime methods evolve rapidly in the crypto landscape, VASPs must continuously refresh their knowledge of typologies and red flags.

This includes staying updated on emerging schemes such as Anonymity-Enhanced Transactions, new or evolving Virtual Assets Products etc. Keeping the typology database current ensures that VASP is using the latest intelligence to judge ML/TF/PF risk exposure accurately in BRA.

Leveraging Advanced Technology for Risk Scoring and Weighing

For a robust Business Risk Assessment, VASPs must leverage advanced technology rather than solely relying on manual judgement.

VASPs should integrate help from tools such as blockchain analytics platforms, automated scoring engines, visual heatmaps and AI-based gap detection in BRA. This improves accuracy and consistency in risk scoring.

Using Qualitative and Quantitative Scoring for Balanced Assessment

VASPs must combine qualitative and quantitative scoring scales for a balanced approach in Business Risk Assessment. This includes merging numerical scoring with approximate judgment.

This blending approach in the risk scoring model prevents the BRA from becoming overly mechanical. It ensures that VASPs evaluate the ML/TF/PF risks of their business from both a data-driven and practical perspective.

Documenting All Data Sources, Assumptions and Methodologies

In order to create a structured Business Risk Assessment, VASPs must document every data source used, the assumptions behind scoring, the logic for weightings and the rationale behind the final risk rating.

These are some of the most important aspects of BRA. Such documentation strengthens governance and ensures that BRA can be defended during regulatory audits.

Training Employees on Risk Assessment Concepts

For an effective and sound Business Risk Assessment, it is essential that VASPs must provide periodic training for their employees on risk assessment concepts.

The accuracy of BRA relies on informed people. Providing training on VA-specific typologies and scoring methodologies builds internal competency. It ensures consistent judgment across VASP and creates shared understanding of how risk decisions are made.

Incorporating BRA Outcomes into the Internal Framework of VASPs

For an effective implementation of Business Risk Assessment, it is crucial that VASPs incorporate the findings and recommendations of BRA Report into the internal framework of their organization.

This includes integrating BRA outcomes into VASP’s AML/CFT Policies and Procedures, Customer Risk Assessment, Transaction Monitoring Calibration, internal audit and other compliance monitoring plans. Allocating Resources as per the results of BRA, increases the efficiency of VASPs.

Conducting Quarterly Reviews of BRA

The best practice to make the BRA current is to conduct periodic reviews of it. VASPs must establish framework to quarterly review the BRA against any new developments, supervisory findings and emerging typologies.

Moreover, VARA expects VASPs to analyze key operational data and material changes, at least once every quarter. This ensures that BRA remains relevant and accurately reflects the risk landscape throughout the year.

Turn Your Business Risk Assessment into Regulator-Ready Backbone for Your VASPs Operations

A well-articulated Business Risk Assessment is not just a compliance requirement, but a foundation for an effective AML/CFT Program for VASPs. As Virtual Assets sector continues to evolve, regulators expect VASPs to display real understanding of their own ML/TF/PF risk exposure. An organized and regularly updated Business Risk Assessment facilitates VASPs to stay ahead of these expectations instead of reacting at the last minute.

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Frequently Asked Questions (FAQs)

Business Risk Assessment is a structured review of the financial crimes risks faced by VASPs’ business model. It gives insight into risk exposure considering wide-ranging factors such as customer base, delivery channels, geographies, transaction patterns, and product/services offered.

VASPs in UAE should update their Business Risk Assessment at every quarter or occurrence of significant events as mandated and expected by the UAE’s regulatory authorities.

VASPs should evaluate customer related risks, transaction related risks, geographical risks, product/services related risks, delivery channel related risk and other relevant risks for an effective Business Risk Assessment.

To perform a Business Risk Assessment, collect mandatory business data, assess inherent risk, evaluate existing control measures, calculate residual risk with a structured methodology, prepare a report and document all the data and rationale.

Yes, VASPs are required to align their Business Risk Assessment with the outcomes of UAE’s National Risk Assessment and FATF Guidance.

To conduct a Business Risk Assessment for a VASP, first understand the regulatory requirements and the nature of the business, gain a grasp over VA-specific typologies, then determine the risk appetite, develop a board-approved methodology and commence with the assessment with relevant business-related data.

AI facilitates VASPs to perform BRA by analyzing large customer sets, transactions and on-chain data sets more accurately. It also automates scoring and identifies anomalies that a manually conducted Business Risk Assessment may miss.

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About the Author

Pathik Shah

FCA, CAMS, CISA, CS, DISA (ICAI), FAFP (ICAI)

Pathik is an ACAMS-certified AML consultant specialising in governance, risk, and compliance for regulated entities in the UAE. He brings over 28 years of experience, with 1,000+ hours of AML training and 200+ advisory engagements across DNFBPs, VASPs, and FIs. He supports businesses in aligning with AML/CFT requirements from the CBUAE, DFSA, MoET, MoJ, VARA, CMA, FSRA, and FATF. Known for translating complex regulations into audit-ready procedures, Pathik enables operational clarity and compliance readiness.

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What is a White-Collar Crime and Its Inter-Relationship with ML/TF

Last Updated: 12/08/2025

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Key Highlights: White Collar Crime & ML/TF

White collar crime involves non-violent financial offences committed through deception or misuse of professional authority
Typical characteristics include deception, concealment, abuse of trust and complex financial transactions.
Money Laundering often overlaps with white collar crime, especially during the placement and layering stages.
Key measures to combat white collar crime include strong legal and regulatory framework, internal controls, whistleblowing systems, employee awareness, and corporate governance practices.

A non-violent and financially motivated crime is termed a white-collar crime when it is executed by an employee while carrying out their responsibilities at work. This blog aims to elaborate upon the concept of white-collar crime, its characteristics, and its types. The blog also sheds light on how white-collar crime impacts not only the country where it originates but also its impact across the globe and how white-collar crime is carried out.

In addition, the blog elaborates upon how machine learning helps counter white-collar crime, the challenges in investigating and prosecuting the same, the steps that businesses can take to combat the occurrence of white-collar crime, and how white-collar crime is closely linked to money laundering (ML) and terrorism financing (TF).

What is a White-Collar Crime

The term ‘white collar’ refers to any person employed in an organisation who does not carry out manual labour and makes use of their intellectual capacities.

White-collar crimes refer to crimes carried out by white-collar employees. White-collar employees may tend to misuse their ability to make decisions at work to conceal, deceive, violate trust or commit fraud related to large amounts of money upon any other company or person.

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Characteristics of a White-Collar Crime

The key characteristics of white collar crime which set them apart from traditional offences are as follows:

1. Non-Violent

White-collar crimes, by definition, are non-violent in nature. An example of this would be no violent activity being carried out in committing white-collar crimes such as insider trading. This crime takes place by misuse of unpublished price–sensitive information by any person within the business (usually a white–collar employee in this example) to book profits or facilitate price manipulation. Here, the entire crime gets executed, generating immense profits for the criminal without the use of violence.

2. Financially Motivated

The primary motive behind white-collar crimes is generating quick financial gains illegally. In many businesses, where the management itself is ignorant about ethical conduct and does not set the tone from the top for utmost good behaviour and ethically carrying out duties in the interest of the business. This mismanagement, coupled with frustrated employees who are morally and ethically compromised, get attracted to making quick money by disclosing confidential company information or carrying out corrupt and fraudulent activities to enrich themselves financially.

3. Carried Out by Professionals

The nature of white-collar crime is such that it can be carried out by knowledgeable and educated professionals in their relevant sphere, as they are aware of how to misuse the loopholes in compliance within their workspace. This can be better understood with the help of an example: a white-collar employee, such as a screening analyst facilitating terrorism financing, can simply manually manipulate sanctions screening results flagging a sanctioned individual to a non-sanctioned individual, resulting in the onboarding of such a sanctioned person carrying out terrorism financing by using the business as a vehicle to move funds for terrorist end-use.

4. Carefully Planned

The execution of white-collar crime requires the person executing it to devise steps to work around the checks and balances and plan for carrying out the intended white-collar crime. Generally, white-collar crimes are carried out by identifying loopholes and navigating checks and balances well in advance, as a lack of planning would result in the employee getting caught and questioned for misconduct.

5. Technology-Driven

A lot of white-collar crimes these days, such as forgery, misappropriation of funds, cybercrime, personal data privacy violations, and intellectual property infringement, are carried out online or with the help of hacking into secure databases containing sensitive data or information.

6. Concealment and Deception

White–collar crimes, in general, have an element of concealment and deception as a normal–appearing employee facilitates the planning and execution of crime in the background. Such employees, in the guise of their routine work, look for opportunities which they can exploit to make financial gains.

Understanding White-Collar Crime

White-collar crimes are non-violent, sophisticated crimes. Professionals in high-paying private or government jobs and big corporations engage in such crimes. These crimes are more strategic, innovative, and meticulously planned to avoid detection.

However, the fight against these crimes is not so strong because detection is challenging and often goes unaddressed in terms of legislation. Since these crimes are non-violent and involve many complexities, misuses, and misrepresentations, uncovering these crimes and the persons committing them before they impact society is challenging. The major impact is on individuals, corporations, economies, and communities. If caught, the perpetrators will face financial penalties, jail terms, and bankrupt business.

Why is White-Collar Crime a Matter of Global Concern

The impact of white-collar crimes on – employees, customers, and society – is enormous. They lose money, assets, jobs, and mental peace. Even the countries suffer substantial economic costs, investor confidence loss, and customer trust reduction. Bankruptcies and business failures can destroy the entire country’s economy. It can also distort competition, create social unrest, weaken integrity, and aggravate inequality and poverty.

These effects on the societies and economies sometimes spread to other jurisdictions. This is because of globalisation, which has interconnected many global financial systems. Cross-border white-collar crimes have also become frequent, affecting several countries. So, it is a matter of grave concern for global watchdogs and regulatory authorities.

Types of White-Collar Crime

The different types of white-collar crimes include:

Fraud

Fraud involves misrepresentation or the use of a false pretence to obtain something from someone. There are various ways to deceive someone to get their money or other valuable assets.

Embezzlement

Embezzlement occurs when someone entrusted with funds or assets misappropriates them without the consent of the company or agency allocating the funds or assets.

Insider trading

Insider trading refers to misusing unpublished price-sensitive information that has the potential to sway market prices to make profits out of it.

The insiders can be directors, promoters, employees, executives of the company, or someone closely related to such people who have access to inside information.

Bribery

Bribery involves influencing the decision or action of an individual or entity in power to get preferential treatment in exchange for gifts, payments, or valuable items. The bribe can be cash, property, services, or favours. The reason can be anything like getting a government contract or an award.

Cybercrimes

Cybercrimes are crimes occurring using digital means, including laptops, mobile phones, computers, and the internet. Criminals use these mediums to harass someone, lure people online, or conduct fraudulent activities. These are sophisticated crimes conducted for monetary or non-monetary gains. This can be data theft, mental harassment, stealing online money, or any other crime.

Money Laundering

Money laundering is a white-collar crime in which criminals disguise the illegal origins or sources of funds by layering them with legal transactions or integrating them into the legal financial system. Criminals hide the sources of such funds through complex transactions or a series of money movements. These activities lead to cleaning the illegitimate origins of the funds to make them appear legal.

Tax Evasion

Tax evasion means avoiding taxes by falsifying data, hiding income, or other illegal ways. Some common tax evasion strategies include underreporting income, using shell companies to hide the beneficial owners of assets, not reporting illegal income, avoiding tax audits, altering financial statements, having offshore accounts in tax havens, and many more.

Ponzi Schemes

It is a type of white-collar crime involving fraudulent investment schemes. The initiator of the scheme promises investment of money to generate higher profits for distribution. However, the investments of new investors are actually used as returns to pay off earlier investors. When the new investments are less than the amount to be paid off to previous investors, the scheme fails.

Forgery

Forgery includes altering or copying legal documents or records to defraud someone. Criminals can forge currency, cheques, identity documents, artwork, wills, certificates, or contract agreements. It can be a physical forgery or electronic. Criminals use sophisticated technologies to forge or create false documents. For example, employees may create a false letter of recommendation to get a job in a company.

Counterfeiting

Counterfeiting means imitating a genuine or authentic object. Counterfeiting aims to replace the original and earn greater value from the sale of fake products. The objects generally counterfeited are currency, identity documents, luxury goods, chemicals, spare parts, medicines, and food items. It primarily affects the trader of original products who suffers losses. Counterfeiting can also harm the lives, health, safety, and well-being of individuals, companies, or economies.

Extortion

Extortion involves threatening a person or their family or friends to gain some money or other valuable things. The criminal might threaten the victim’s family, use force to intimidate them or use violence to harm them. The criminal gains money, property, valuable security, or a signature on a critical document from the victim.

Environmental Crime

Environmental crime means the exploitation of natural resources or causing harm to the environment. It affects a country’s natural resources, human health, plants and animals’ lives, food chains, life expectancy, and biodiversity. These can include crimes such as improper disposal of waste, the killing of protected wild animals, illegal trading of plant species, illegal operations of destructive substances or materials, and others. Chemical pollutants released by industries and factories are a big crime, destroying environments across the globe.

Common Methods Used in White-Collar Crime

Knowing these common methods of conducting white-collar crimes enables businesses to detect them before the crime occurs. The common ways in which white-collar crimes occur are:

Identity Theft

Identity theft occurs when someone illegally obtains or uses an individual’s identity details without consent.

This information includes personal identification documents such as an identity, credit/debit card, bank account details, and many more. Criminals use this information to conduct any of the following:

Open new accounts
Obtain products and services in the victim’s name
Use the victim’s existing bank accounts to conduct transactions
Apply for loans
Spend money on travel, tickets, property purchases, etc.
Buy medicines or medical facilities, affecting health insurance coverage
Commit a crime under the victim’s name, leading to legal consequences

Accounting Data Manipulation

Another way criminals conduct white-collar crimes is by manipulating accounting data. It involves the misstatement or misrepresentation of a company’s or individual’s financial data. Companies manipulate these statements to avoid the repercussions of showing an adverse financial scenario. Some of the ways they manipulate this information are:

Recording fictitious revenues or adding other incomes to it
Change the accounting period for a few expenses
Adjusting accounting estimates and assumptions
Understating liability or overstating assets
Creating fake invoices
Falsifying cash and bank balances.

Market Manipulation

Manipulating the markets is another way to conduct white-collar crimes. The aim is to influence people’s behaviour in one direction so that the criminal can benefit. It means artificially affecting a financial instrument’s demand, supply, or price. It can be a currency, commodity, or share. Market manipulation can involve any of the following:

Manipulating the quotes or prices of securities
Spreading misleading information about a company
Posting fake orders
Acting on insider information not made public yet.

Exploitation of New and Emerging Technology

Technological advancements are a benefit to any economy because they solve problems. However, the exploitation of such technologies by criminals has increased. Financial criminals know how to utilise technology to deceive businesses, regulators, or individuals to achieve some financial benefits.

The primary ways in which fraudsters exploit emerging and new technologies for their personal gain are:

Data breaches
Gaining wrongful access to sensitive customer information
Malicious software or hacking to steal money
Hacking financial systems to get insider information
Technologies make identity theft easier
Cyber fraud
Fake online marketplaces
Using digital currencies to launder money.

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Challenges in Investigating and Prosecuting White-Collar Crime

White-collar criminals exploit technologies, manipulate data, and misuse information to conduct crimes. Their work is so sophisticated that detecting the crime is challenging.

Cross-Border Transactions

Investigating cross-border transactions is challenging, given the jurisdictional variances and the need for cross-border collaborations. Currency fluctuations and regulatory differences make it easier to commit crimes. Prosecuting becomes even tougher due to legal differences in civil and criminal laws.

Resource-Intensive Investigations

Having adequate compliance measures in place and implementing them to avoid the materialisation of white-collar crimes requires funding, as compliance tools such as the screening software or employee background and monitoring policy require substantial funding, which not all types of businesses can afford. Even if the funding is available, it is difficult to recruit the right skills. This gives scope for businesses being used for conducting white-collar crimes.

Influential Perpetrators

The wrongdoers in white-collar crimes are employees, top management, or leaders of entities. In most cases, they are business and government professionals. These people have earned respect in their community. They are influential people with known credibility and trust among their professional and personal networks. So, detecting such people and understanding their criminal minds is challenging. Further, if they are guilty of having committed a white-collar crime, they use their influential network to jeopardise the investigation against them.

Evolving Crime Typologies

Crimes worldwide are increasing day-by-day. Countries are introducing new laws, and companies are developing new technologies to restrict the execution of crimes. But criminals find loopholes and harness them for their benefit. They try new ways, identify new loopholes in laws, and harness technologies’ weak points to commit crimes.

Difficulty in Gathering Evidence

White-collar crimes involve either the entire organisation, a few top managers, or one individual. One can identify all these only after in-depth investigations. Detecting the part where the fault lies or from where it all started is challenging.

Machine Learning and its Application in Detecting White-Collar Crimes

Machine learning (ML) learns the data patterns and predicts future occurrences. Based on these predictions, potential red flags can be spotted and stopped before occurrence. Machine learning helps businesses with the following:

Anomaly Detection

Anomaly means the behaviour in contrast to the usual customer activity. ML helps spot unusual patterns, outliers, or irregularities in customer or transaction data. These irregularities point towards a potential fraud, vulnerability, or failure. Incomplete data, unexpected manual intervention, or inconsistencies in the dataset are warning signs.

These signs indicate a problem which needs further investigation. Anomaly detection helps businesses to spot suspicions in datasets in real time so that immediate action can be taken.

Predictive Analytics

Predictive analytics in machine learning predicts future outcomes based on historical data analysis. So, while studying the old data, predictive analytics identifies patterns and trends and analyses them. It uses past learnings while analysing the new data. Based on the analysis of old data on user behaviour, ML predicts potential patterns in new data. It recognises similar trends and behaviour and flags them as suspicious.

Automated Monitoring

Any system using ML techniques to sift through data runs on automated monitoring. It is in continuous action. It continuously monitors it. It studies the old data, identifies patterns, and applies the same learning to the new incoming data. It checks and tracks the data in real-time to identify trends and flag them for further investigation.

Network Analysis

Network analysis means studying the relationships between factors. Businesses can identify the linkages between data points under study in machine learning and detect the following:

Relationships between various people involved in the crime
The pattern of relationships between them
Key influencers in the group who control others
The spread of unique behaviour that led to the crime
The organisation and hierarchy of criminal groups

Natural Language Processing (NLP)

Natural language processing means processing and understanding the natural language of humans. Using this feature, ML helps study, comprehend, and analyse text. Text-based data can be from emails, videos, audio, social media posts, or other sources. It helps understand the text exchanged between white-collar criminals. It sifts through all this qualitative data and detects suspicious behaviour. Whether it is phrases, keywords, tone, or patterns, it can study them to identify suspicious behaviour.

What is Money Laundering and Terrorist Financing

Money laundering means disguising the origin or source of illegal money and introducing it into the legal financial system. It is a financial crime committed by individuals, entities, and big criminal organisations. When an individual earns or generates illicit funds from a transaction, they layer these funds with complex transactions and integrate them with legal money. This entire process of placement, layering, and integration is called money laundering.

Terrorist financing means funding the activities of terrorists and terrorism. This can include operational activities of terrorism, terrorist attacks, travel, and lives of terrorists, or buying weapons. Any activity that provides financial support to terrorist organisations to carry out their terrorist acts is terrorist financing. The process of terrorism financing is carried out by collecting funding either legally or illegally, followed by making provisions to store or park such funds until they can be moved safely for further use without raising suspicion.

The Inter-Relationship between White-Collar Crime and Money Laundering and Terrorist Financing

Generally, it’s the greed of some individuals or entities that leads to white-collar crimes. These criminals are already in a position of power and prestige and command respect for it. But they want a commercial or personal advantage, more money, or avoid losing their assets.

White-collar crimes involve manipulating data or markets, misusing identities, or exploiting technology. Using these techniques, white-collar criminals can deceive the legal and regulatory authorities and people. Now, hiding this illegal money or disguising illegal funds and reintroducing it into the financial system as legitimate gains or income is possible with money laundering.

Criminals hide the illegal money or assets gained from such white-collar crimes by taking the money far from their origins. The aim is to confuse the investigators who want to trace the money or assets. So, criminals either layer them with several transactions or integrate them with the legal financial system. This is how white-collar crimes, in a way, facilitate money laundering.

White-collar criminals might also use money from such crimes to fund terrorist activities. If they have more dangerous aims, they will transfer the money to terrorist organisations. In doing this, they use false identities to save their name from all crimes.

To distance themselves from illicit sources of income or gains, white-collar criminals resort to:

Hiding the source or destination of funds
Creating layers of transactions to conceal them
Using the illicit layered money for a legal transaction

This is how white-collar crimes are interrelated with ML/TF. Not only this, the financial gains from white-collar crimes are also used in drug trafficking, arms dealing, and other transnational criminal activities. So, they create a maze of unlawful and unethical activities to hide their face and name.

Measures to Combat White-Collar Crimes, ML, TF

Businesses need to find a weak link in interrelationships between these white-collar crimes to catch them and implement the following measures to prevent these crimes by having in place:

Strong Legal and Regulatory Framework

In cognisance of the white-collar crimes in the country, UAE has taken strong steps to fight them and reduce their impact. The UAE Penal Code, the Federal Decree Law on AML/CFT and TFS Compliance are measures taken by the government to identify and take action in the event of any white-collar crime and have in place measures to report suspicious activity to the goAML portal by filing a Suspicious Activity Report.

Also, laws governing the protection of whistleblowers contribute to quick detection of potential white-collar crime.

Enhanced Supervision and Oversight

Businesses must strive to improve the supervision and oversight of their anti-crime measures. This will enable the business to know the status of each procedure, internal control, and technique applied against these white-collar crimes and gauge the following with such supervision:

Positive points of its anti-financial crime measures
Gaps, weaknesses, and areas of concern
Ways to fill these gaps and solutions for them
Whether these measures facilitate compliance with regulations
Reporting the compliance status to authorities
Any non-compliance penalties or legal proceedings against the business

Corporate Governance

The senior management in a company must set the tone at the top. Once that is taken care of, it is possible to design and implement effective measures against these crimes. Businesses must have a strong board of directors and top management who define the plan, accountability, and responsibilities.

Other corporate governance practices that help in preventing these white-collar crimes are:

Defining clear roles and responsibilities to facilitate faster crime prevention initiatives.
Defining a code of conduct, including acceptable and unacceptable behaviours, to create an ethical environment in the entity.
Ongoing training to employees and other stakeholders on crime prevention, compliance, and ethical behaviour.
Defining data permissions and accessibility to prevent data theft or misuse by internal people.
A reporting structure to keep everyone in the entity aware of the entity’s financial health and any potential crime threats.
Auditing by internal and external parties to ensure accuracy and completeness of the anti-crime measures.

Enhanced Compliance

UAE has specific laws against money laundering, terrorism financing, proliferation financing, fraud, embezzlement, cybercrimes, and many more. These laws mention the mandatory requirements needed to be followed to prevent white-collar crimes by enabling businesses to:

Identify and analyse the risks to the business from these crimes
Implement policies, procedures, and internal controls to fight these crimes
Train employees on these procedures
Conduct processes to know your customers and their transactions better
Appoint relevant officers and team to handle the compliance requirements
Perform audits of all these systems, technologies, and procedures to improve

Performing all these activities leads to compliance with these regulations.

Technological Solutions

Technology is a sure-shot solution to white-collar crimes. Advanced technologies like artificial intelligence, machine learning, data analytics, and others can help detect suspicious activities. They can identify potential warning signs in customers’ behaviour and transactions.

These technological solutions help mitigate crimes besides prevention. Technological systems help in conducting audits, monitoring, and investigations of measures against financial crimes.

Training and Awareness

It is difficult to achieve success in anti-crime measures without knowledge. Businesses must conduct employee training on the above aspects to make them aware and diligent in their approach. Building a positive, anti-crime culture in any business is crucial so that no employee resorts to white-collar crimes. Such culture also ensures that employees report or discourage others from committing white-collar crimes. Having a legally compliant and ethical culture is an excellent anti-crime measure.

Collaborative Approach

Collaboration and coordination with regulators, peers, and industry-specific associations is an effective step against these crimes. Such collaboration helps businesses by:

Understanding the challenges and finding their solutions
Learning about the best practices peers have implemented
Detecting the new emerging risks and white-collar crime tactics
Improving record-keeping and reporting procedures by consulting with regulators.

Harmonisation of Laws

By coordinating with authorities of the free zones and federal, regional, and international jurisdictions, businesses can create consistent anti-financial crime/AML frameworks and internal guidelines. Harmonised laws make compliance easier and faster. Also, it reduces criminals’ opportunities to exploit jurisdictional differences in laws.

Whistleblower Protection

One vital activity that can help businesses uncover white-collar crimes or criminals is whistleblowers. They are people from inside the organisation who report suspicious activities or operations. However, one factor that discourages them from such reporting is personal risks. If businesses do not keep them anonymous, criminals or their associates can harm whistleblowers or their families’ lives or jobs.

Whistleblower protection programs are essential to encourage employees to report their suspicions. They must feel safe and secure to report such crimes. Businesses must create policies to protect their anonymity and keep their information confidential. With a guarantee of a safe environment, whistleblowers will be active in detecting suspicions and reporting them on time.

Media and Civil Society Participation

This is also a measure not in the hands of entities but other associations and society. Regulatory authorities must run campaigns to increase the awareness of white-collar crimes and the significance of measures against them. They must impart training on ethics, fraud prevention strategies, and corporate governance to improve the workforce’s integrity. Besides, the following can help:

Media must write articles on such crimes and measures businesses implement against them.
The supervisory authorities must keep a check on businesses in their industry to ensure the implementation of anti-crime measures.
Civil society must provide platforms for whistleblowers to voice their concerns and protect them.
The media can create anonymous reporting channels so whistleblowers feel safe and secure to report.
Media and civil society can create public pressure and lobby for stronger laws against white-collar crimes.
They can facilitate collaboration between different stakeholders and the community to devise a plan against crimes.

Frequently Asked Questions (FAQs)

White-collar crime includes non-violent, financially driven acts such as fraud, embezzlement, insider trading, and money laundering committed by professionals or corporate entities.

They generally involve deception, breach of trust, complex financial manipulation and non-violent conduct carried out for financial benefit.

Yes. Money laundering is a white-collar crime because it involves financial deception, concealment of illicit funds, and non-violent methods to make illegal money appear legitimate.

Examples include fraud, embezzlement, insider trading, forgery, bribery, and money laundering; all of which are non-violent crimes committed for financial gain.

Companies can prevent white-collar crime through strong internal controls, KYC/AML compliance, employee screening, transaction monitoring, whistleblower protections, and regular audits.

People commit white-collar crimes primarily for financial gain, exploiting access, authority, and weak controls to benefit personally or professionally.

Yes. Identity theft is considered a white-collar crime because it involves deception, misuse of personal information, and financial manipulation without violence.

White-collar crimes often go unreported because organisations fear reputational damage, financial loss, or legal scrutiny. Many cases also remain unnoticed due to complex fraud schemes, lack of internal controls, and hesitation by employees to report wrongdoing.

Protect your business, employees, and customers from white-collar crimes.

Consult with our experienced team at AMLUAE for expert consulting services.

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About the Author

Pathik Shah

FCA, CAMS, CISA, CS, DISA (ICAI), FAFP (ICAI)

Pathik is an ACAMS-certified AML consultant specialising in governance, risk, and compliance for regulated entities in the UAE. He brings over 28 years of experience, with 1,000+ hours of AML training and 200+ advisory engagements across DNFBPs, VASPs, and FIs. He supports businesses in aligning with AML/CFT requirements from the CBUAE, DFSA, MoET, MoJ, VARA, CMA, FSRA, and FATF. Known for translating complex regulations into audit-ready procedures, Pathik enables operational clarity and compliance readiness.

Reach Out to Pathik

The New UAE AML/CFT Law – Federal Decree Law No. 10 of 2025 Explained

Key Changes in the New UAE AML Law 2025 and Its Impact on Businesses

Pathik Shah

Last Updated: 12/03/2025

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Key Highlights of Core Changes in the New AML/CFT Law 10 of 2025

The New UAE AML/CFT Law, i.e. Federal Decree Law No. 10 of 2025, replaces the old AML Law of 2018, introducing stronger enforcement powers, higher penalties, and new criminal categories, such as Proliferation Financing. It came into force on 14 October 2025.
Executive Regulations: Cabinet Resolution No. 134 of 2025 (in force from 14 December 2025)
Virtual Assets & VASPs are now directly regulated, with strict licensing and reporting, with added checks on cryptographic technologies.
Beneficial Ownership, STR filing, sanctions compliance, and risk assessments face significantly higher scrutiny, backed by extended FIU freezing powers.
Businesses must upgrade systems, governance, and internal controls immediately to avoid fines up to AED 100 million and potential dissolution.

The New UAE AML/CFT Law: Federal Decree Law No. 10 of 2025 Explained

The UAE’s financial regulatory landscape has entered a new era. The Federal Decree Law No. 10 of 2025, effective from October 14, 2025, marks the most significant overhaul of the country’s Anti-Money Laundering (AML) and Combating Financing of Terrorism (CFT) framework. This new legislation repeals and replaces Federal Law No. 20 of 2018, arriving almost a year after amendments were made through Federal Decree-Law No. 7 of 2024.

The 2025 law doesn’t merely update the 2018 law; it transforms how businesses must operate across the Emirates. While the New AML Law is now in force, the existing Executive Regulations, Resolutions, and Circulars remain applicable until updated Regulations, Resolutions, and Circulars are issued. Accordingly, Cabinet Resolution No. 10 of 2019 will be repealed by Cabinet Resolution No. (134) of 2025 Concerning the Executive Regulations of Federal Decree-Law No. (10) of 2025 Concerning Combating Money Laundering, Terrorist Financing, and the Financing of the Proliferation of Weapons with effect from 14^th December 2025.

This means businesses must apply current rules while preparing systems and governance to meet the requirements of the new framework.

What is Federal Decree Law No. 10 of 2025?

In a decisive move to strengthen its position as a trusted global financial hub, the UAE has introduced Federal Decree Law No. 10 of 2025 Regarding Anti-Money Laundering, and Combating the Financing of Terrorism and Proliferation Financing. The law goes far beyond cosmetic updates.

It introduces new criminal offences, expanding enforcement powers, and imposing penalties that can reach AED 100 million for corporate violations. From the introduction of Proliferation Financing as a distinct crime to explicit regulation of Virtual Assets (VAs) and cryptocurrency transactions, the 2025 law addresses emerging threats in an increasingly digital and interconnected world.

Any business entity handling customer transactions or providing designated services must now meet far more rigorous regulatory obligations. For businesses operating across the Emirates, understanding these changes is essential for maintaining compliance and operational continuity.

This article provides a comprehensive analysis of the Federal Decree Law No. 10 of 2025 Regarding Anti-Money Laundering and Combating the Financing of Terrorism and Proliferation Financing. It shares insights into key changes, examines implications for different stakeholder groups, outlines practical compliance steps, identifies implementation challenges, and offers best practices for navigating this new regulatory environment. For further reading, check a guide to Anti-Money Laundering Laws in the UAE.

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Who are the Stakeholders Under the New UAE AML/CFT Law 2025?

The Federal Decree By Law No. 10 of 2025 casts a wide net across the UAE’s business landscape. It provides a clear overview of all stakeholder groups covered under the 2025 Law.

Understanding whether an entity falls under these regulations is crucial for compliance. The law applies to:

Financial Institutions (FIs)
Designated Non-Financial Businesses and Professions (DNFBPs)
Virtual Asset Service Providers (VASPs)
Non-Profit Organisations (NPOs)

Each category carries specific obligations and faces substantial penalties for non-compliance.

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Key changes introduced by Federal Decree Law 10 of 2025

The Federal Decree By Law No. 10 of 2025 introduces substantial reforms across multiple dimensions of AML/CFT/CPF enforcement. While some provisions build upon the earlier Federal Decree Law No. 20 of 2018 framework, others represent entirely new territory for UAE businesses.

The following key changes, comprising Proliferation Financing, Direct Regulation of Virtual Assets, Increased Penalties, Extended Freezing Powers, Stricter Beneficial Ownership Requirements, Two-Tier Supervisory Framework, and No Statute of Limitations, constitute the most significant shifts that stakeholders must understand and address

Proliferation Financing

The most notable addition to the 2025 law is the introduction of ‘Proliferation Financing’ as a distinct criminal offence. This category did not exist in the 2018 legislation and reflects growing international concerns about weapons of mass destruction.

What It Means: This provision criminalises providing funds for weapons of mass destruction, including nuclear, biological, chemical, or radiological weapons.

Penalties: Temporary imprisonment and fines ranging from AED 1 million to AED 10 million, or twice the value of Criminal Property, whichever is greater.

Impact on Business: Businesses involved in international trade, technology transfers, or dual-use goods (civil and military use goods) require enhanced AML/CFT controls to ensure compliance with proliferation financing restrictions.

Direct Regulation of Virtual Assets

Cryptocurrency and digital assets, which were not addressed under the 2018 law, now receive comprehensive and explicit treatment throughout the 2025 legislation. This change addresses the rapid growth of the crypto economy in the UAE.

What Changed:

Virtual Asset Service Providers (VASPs) are now defined as Regulated Entities
VASPs are explicitly subject to Suspicious Transaction Reporting (STR) requirements
Penalties apply to the use of technologies, accounts, or virtual assets that obscure the Source of Funds or the identity of the Beneficial Owner.
Virtual assets that enable total anonymity or obstruct tracing are expressly restricted.

Penalties: Promoting or dealing in totally anonymous virtual assets carries a minimum 3 months imprisonment and a fine not less than AED 50,000 , or either of these two penalties.

Impact on Business: Crypto exchanges, blockchain service providers, and any allied businesses accepting cryptocurrency payments must now implement the same rigorous AML/CFT compliance as imposed on other Regulated Entities

Increased Penalties

While the 2018 law imposed significant penalties, the 2025 version raises the stakes, particularly for corporate entities. The potential financial exposure for violations has multiplied several times over.

What Changed:

Money Laundering (Individuals):
- 2018 Law: Up to 10 years imprisonment + fines up to AED 5 million
- 2025 Law: 1-10 years imprisonment + fines up to AED 5 million OR value of Criminal Property (whichever is greater)

Money Laundering with Aggravated Circumstances:

Money Laundering committed under Aggravating circumstances includes: exploiting position authority, committing through NPOs or organised crime groups, certain serious predicate offences, or recidivism.

2025 Law: Temporary imprisonment + fines AED 1-10 million OR twice the criminal property value (whichever is greater)

Legal Entities:
- 2018 Law: Fines AED 500,000 to AED 50 million
- 2025 Law: Fines AED 5 million to AED 100 million OR Criminal Property value (whichever is greater)

Impact on Business: A single violation can now cost companies up to AED 100 million, representing a doubling of maximum penalties and creating substantially higher financial risk exposure.

Offence Category	2018 Law (Federal Decree-Law No. 20 of 2018)	2025 Law (Federal Decree-Law No. 10 of 2025)	Analysis
Proliferation Financing (PF)	Not explicitly defined or penalised.	Punishable by temporary imprisonment and a fine between AED 1,000,000–10,000,000, or twice the value of the Criminal Property, whichever is greater.	PF is recognised as a distinct crime with severe penalties, aligning UAE law with FATF standards and addressing Weapons of Mass Destruction (WMD)-related financial risks.
Financing of Terrorism (Individuals)	Life imprisonment or temporary imprisonment (≥ 10 years) and a fine between AED 300,000–10,000,000.	Life imprisonment or temporary imprisonment (≥10 years) and a fine between AED 1,000,000–10,000,000, or twice the value of the Criminal Property.	The minimum fine increased more than threefold (from AED 300,000 to AED 1,000,000); it introduces asset-value-based fines, strengthening deterrence and recovery of illicit gains.
Dealing in Anonymous Virtual Assets	Not addressed.	Imprisonment (≥3 months) and/or fine ≥AED 50,000 for promoting, offering, or dealing in completely anonymous virtual assets.	A new and explicit penalty targeting untraceable Virtual Assets, highlighting the 2025 law’s digital-risk focus.
Unlicensed Activities (VASPs / DNFBPs)	Generic penalty of AED 10,000–100,000 for violations.	Imprisonment and/or fine between AED 200,000–10,000,000 or either penalty, for (violating Article 20) engaging in financial/VASP/DNBFP activities without a license.	The 2025 Law introduces a specific and severe penalty for operating without a valid license or registration, reinforcing regulatory control over fintech and VASPs.
Tip-Off / Warning (Breach of Confidentiality)	Imprisonment (≥6 months) and/or fine AED 100,000–500,000.	Imprisonment and/or fine ≥AED 50,000.	The 2025 Law removes the minimum imprisonment period (of 6 months) but maintains the ability to impose imprisonment and a fine while retaining strict confidentiality obligations.
Failure to Report / Gross Negligence	Imprisonment and a fine of AED 100,000 to AED 1,000,000, or either.	Punishment by imprisonment and a fine of not less than AED 100,000 and not exceeding AED 1,000,000, or by either of these two penalties.	The range remains the same, but the 2025 Law rephrases the minimum penalty to state “not less than” AED 100,000.
Violating Targeted Financial Sanctions (TFS) Instructions	Imprisonment or fine AED 50,000–5,000,000 applied to anyone who violates instructions issued by the Relevant Authority for the implementation of UN Security Council directives.	Imprisonment and/or fine ≥AED 20,000, for violating instructions issued by the Executive Office or other Competent Authority related to Targeted Financial Sanctions.	While the 2018 law addressed UN sanctions compliance, the 2025 Law sets a new minimum fine of AED 20,000 for violations against the Executive Office’s sanctions instructions, reflecting the new structure.
Administrative Fines (Supervisory Authorities)	Fine of AED 50,000–5,000,000 per violation.	Fine of AED 10,000–5,000,000 per violation.	The minimum administrative fine is drastically reduced (from AED 50,000 to AED 10,000).

Extended Freezing Powers

Enforcement authorities have gained considerably more time and flexibility to freeze suspicious funds and suspend transactions. These expanded powers enable faster action against potential Money Laundering activities while investigations proceed.

What Changed:

Transaction Suspension: The Financial Intelligence Unit (FIU) can suspend suspicious transactions for up to 10 working days without court approval.
Fund Freezing: The FIU can freeze funds for up to 30 days (increased from 7 days under the 2018 law), with extension provisions available through the Attorney General.
Enhanced Authority: Public Prosecution can directly access accounts, computer systems, and communications without prior notice to account holders.

Impact on Business: Businesses face potential 30-day account freezes that could disrupt operations, affect cash flow, and prevent payment of suppliers or employees during investigation periods.

Stricter Beneficial Ownership Requirements

Under the 2025 law, greater emphasis is placed on establishing Beneficial Ownership across corporate and legal arrangements.

What Changed:

More detailed and specific definitions of Beneficial Ownership
Enhanced obligations requirements for legal arrangements and trusts
Specific obligations imposed on nominee directors and shareholders

Penalties: Providing false Beneficial Ownership information now carries imprisonment plus fines starting at AED 20,000.

Impact on Business: Businesses must maintain Beneficial Ownership records, verify ownership chains at multiple levels, and update information regularly as structures change. This may involve additional documentation during customer onboarding to ensure transparency.

Disclosure Requirements for Cash, Precious Metals/Stones, Negotiable Instruments

The Federal Decree Law No. 10 of 2025 introduces cash, precious metals/stones, and negotiable instruments disclosure requirements for individuals entering or departing from the UAE in accordance with the disclosure system issued by the Federal Authority for Identity, Citizenship, Customs, and Port Security in coordination with the Central Bank.

Impact on Business: Businesses must ensure that adequate disclosure is made when their staff carry cash, precious metals/stones, and negotiable instruments while entering or departing from the UAE. The AML/CFT policy and procedures must be amended to reflect this mandatory requirement as the UAE Customs Declaration Form.

Two-Tier Supervisory Framework

The 2025 law restructures how Anti-Money Laundering efforts are coordinated and supervised at the national level. The creation of the following dual oversight bodies reflects a more sophisticated approach to governance and enforcement.

Supreme Committee: It provides high-level strategy and supervision, affiliated with the Presidential Court, and is responsible for monitoring the National Strategy
National Committee: It handles operational coordination and implementation, chaired by the Central Bank Governor.

Impact on Business: More frequent inspections, higher regulatory expectations, dual reporting lines to both strategic and operational oversight bodies, and increased administrative penalty exposure.

Strengthened International Cooperation

The 2025 law enhances cross-border information sharing and mutual legal assistance, introducing streamlined mechanisms that improve coordination with foreign authorities and reduce barriers to international investigations.

Key Changes:

Automatic information exchange with counterpart authorities in other jurisdictions
Priority handling requirements for international cooperation requests simplified mutual legal assistance procedures
Foreign confiscation orders are executable without separate national investigations
Tax matters no longer constitute grounds for refusing cooperation requests

Impact on Business: Transactions face greater scrutiny from multiple jurisdictions simultaneously. Moreover, information held by UAE entities can be shared more easily with foreign authorities, and cross-border operations require an understanding of multiple jurisdictions’ AML requirements.

No Statute of Limitations (Continued from 2018)

While not a new provision, the continuation of unlimited prosecution timeframes remains one of the most significant features of UAE’s AML framework. The 2025 law adds Proliferation Financing to the list of crimes with no statute of limitations, whereas the 2018 law only covered Money Laundering and Terrorism Financing.

What It Means: Criminal proceedings for Money Laundering, Terrorism Financing, and Proliferation Financing can be initiated at any time, regardless of how many years have passed since the offence occurred.

Impact on Business: Past violations can be prosecuted indefinitely, creating permanent legal risk. Businesses must maintain compliance records for extended periods, as past transactions remain subject to investigation and prosecution decades later.

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Comparative Chart of Changes in Federal Decree Law No. (10) of 2025

To put these developments and key changes into perspective, the following table highlights how core provisions have evolved from Federal Decree Law No. (20) of 2018 to Federal Decree Law No. (10) of 2025. Many of these refinements aim to streamline compliance obligations and enhance alignment with international standards. This comparison helps identify areas where institutions may need to recalibrate their internal processes.

Feature	2018 Law (Federal Decree Law No. 20 of 2018)	2025 Law (Federal Decree Law No. 10 of 2025)	Analysis
Primary Scope	Focuses on ML, TF, and Financing of Illegal Organisations.	Focuses on ML, TF, and Proliferation Financing (PF).	The 2025 Law introduces PF as a distinct crime and removes the specific term “Financing of Illegal Organisations” (which was present in the 2018 Law).
Definitions and Coverage	Includes definitions for ML, TF and Illegal Organisations.	Introduces detailed definitions for Proliferation, Weapons of Mass Destruction (WMD), and Virtual Assets, alongside expanded definitions for ML/TF.	The 2025 Law incorporates modern financial crime concerns, explicitly covering PF and transactions involving Virtual Assets.
Treatment of Virtual Assets	No reference to Virtual Assets (VA) or Service Providers.	Explicitly addresses VA, including their use in ML & TF. It also defines and regulates Virtual Asset Service Providers (VASPs).	It modernises the AML scope to include digital currencies and crypto-related activities.
Financial Intelligence Unit (FIU)	The FIU is established within the Central Bank of the UAE (CBUAE), chaired by the Governor.	It retains CBUAE structure but affirms FIU’s independence. Now, the FIU is established as an independent unit within the Central Bank (CBUAE).	It emphasises institutional autonomy and operational independence of the FIU.
National Coordination Framework	It established the National Committee, chaired by the CBUAE Governor.	It introduces a two-tier structure: a Supreme Committee for the Supervision of the National Strategy for AML, CFT, PF (affiliated with the Presidential Court) and a National Committee, chaired by the Governor	The 2025 Law creates a two-tiered oversight structure, placing strategic supervision under the Supreme Committee while maintaining the National Committee for policy implementation.
FIU Freezing Authority	The Governor or their delegate may freeze suspicious funds up to 7 working days, renewable by the Public Prosecutor.	The FIU Chief may suspend transactions up to 10 days or freeze funds for 30 days.	It extends FIU’s power and timeframe, allowing faster, independent intervention.
Money Laundering Penalties (Individuals)	Imprisonment not exceeding 10 years and a fine of AED 100,000 to AED 5,000,000, or either penalty; Aggravated penalty (temporary imprisonment and fine of AED 300,000 to AED 10,000,000) for specific circumstances.	Imprisonment for a term of not less than 1 year and not exceeding 10 years, together with a fine of AED 100,000 to AED 5,000,000, or equivalent Criminal Property value. Aggravated penalty (temporary imprisonment and fine of AED 1,000,000 to AED 10,000,000).	The 2025 Law clarifies the minimum imprisonment term (not less than 1 year) and increases the minimum fine for aggravated offences (from AED 300,000 to AED 1,000,000).
Penalties for Legal Persons	Liquidate and close the office, and a fine of AED 500k –50 M.	Fine AED 5M –100M or equivalent Criminal property value.	The maximum fine for a Legal Person conviction is doubled (from AED 50 million to AED 100 million) in the 2025 Law, and the minimum fine is significantly increased (from AED 500,000 to AED 5,000,000), reinforcing corporate liability.
Legal Person Conviction for CFT/PF	If convicted of terrorism financing, the Court shall order liquidation and closure of the office premises.	If convicted of Financing of Terrorism or Proliferation Financing, the Court shall order dissolution and closure.	The mandatory dissolution and closure provision now includes PF Convictions.
Professional Secrecy Exemption	Exemption for lawyers, notaries, other legal professionals, and independent legal auditors who obtained information subject to professional confidentiality.	Exemption maintained for lawyers, notaries, other legal professionals, or independent legal auditors if information was obtained under circumstances subjecting them to professional secrecy. maintained with an identical scope.	This core exemption remains largely consistent in both laws, protecting legal professional privilege.
Repeal Status	Repealed by Decree-Law No. 10 of 2025.	Repeals the 2018 Decree-Law.	The 2025 Law is the currently effective legal framework, along with existing resolutions, notifications, and circulars to the extent they aren’t repealed.

Step-by-Step Guide for the Regulated Entities to Comply with the New UAE AML Law 2025

The following step-by-step guide outlines each compliance step required under the New AML Law 2025.

This section provides a clear overview of the entire process—from Securing Licensing, Conducting Risk Assessments, Establishing Internal Policies, Implementing CDD, Ensuring Beneficial Owner Transparency, Applying TFS Forthwith, Reporting Suspicious Transactions, Avoiding Tipping-Off, Meeting VASP-Specific Obligations, and Keeping Records.

Together, these steps highlight the essential actions businesses must take to meet the law’s requirements, strengthen internal controls, and ensure full alignment with regulatory expectations.

Secure Required Licensing/Registration

Before engaging in any Financial Activities, DNFBP, or VASP activities, the natural or legal person must obtain a license, registration, or enrolment from the Competent Authority or the relevant Supervisory Authority.

Violation of this specific licensing requirement carries a potential penalty of imprisonment and a fine of not less than AED 200,000 and not exceeding AED 10,000,000, or either penalty.

Conduct and Maintain Risk Assessment

The next step for the Regulated Entities is to identify, understand, manage, assess, document, and continuously update the risks of financial crimes such as Money Laundering, Financing of Terrorism, and Proliferation Financing, within their business scope. This assessment is grounded in a risk-based approach, and multiple risk dimensions are considered.

Assessing how the new risks (Virtual Assets, Proliferation Financing) can affect specific products, services, and customer base.
Allocating more resources to scrutinise high-risk areas (e.g., Politically Exposed Persons, Clients from High-Risk Countries, Complex Crypto Transactions).

Moreover, the Risk Assessment study and related information are retained and provided to the Supervisory Authority upon request.

Establish Robust Internal Policies and Controls

The following step for Regulated Entities is to establish internal AML/CFT policies, controls, and procedures that are approved by Senior Management. These controls enable Regulated Entities to manage and mitigate identified risks.

These Policies are applied to all branches and subsidiary companies in which the REs own a majority share.
These Policies and Procedures are continuously reviewed and updated.

Implement Customer Due Diligence (CDD) and Monitoring

The next step is implementing CDD measures and continuous monitoring procedures for clients. The scope for these measures is determined based on the multiple ML/TF/PF risk dimensions and the outcomes of the National Risk Assessment (NRA). The CDD process usually consists of,

Identifying and verifying the information of the Customer and the Beneficial Owner in a legal person (the natural person exercising ultimate effective control over a corporate person).
Identifying the nature of the Customer’s business and the purpose of the business relationship.
Ensuring not to open or maintain accounts, or conduct transactions, under anonymous, fictitious, alias, or numbered names, or provide services to such accounts.

Ensure Beneficial Owner Transparency

While onboarding corporate clients, the identification of the Ultimate Beneficial Owner ensures transparency and accountability.

Intentionally providing false or misleading information concerning the Beneficial Owner is subject to criminal punishment (imprisonment and a fine of not less than AED 20,000, or either penalty).

Apply Targeted Financial Sanctions (TFS) Forthwith

For Regulated Entities, applying the instructions issued by the Executive Office or any other Competent Authorities concerning Targeted Financial Sanctions is another essential component of an efficient AML/CFT Compliance Program. This includes,

Freezing of funds and prohibition of making them available for designated persons/organisations.
Filling relevant reports such as Confirmed Name Match Report (CNMR) and Partial Name Match Report (PNMR), as the case may be.

Violation of these instructions is a serious offence, punishable by imprisonment and a fine of not less than AED 20,000, or either penalty.

Report Suspicious Transactions

In case there is a red flag in the transaction pattern or Regulated Entities have reasonable grounds to suspect that the Transaction or Funds are related to the criminal offences of Money Laundering, Financing of Terrorism, and Proliferation Financing, then taking appropriate steps is required. This includes,

Notifying the Financial Intelligence Unit (FIU) without delay and directly.
Providing a detailed Suspicious Transaction Report (STR) or Suspicious Activity Report (SAR) containing all available data and information via the electronic system or other approved means.

It must be noted that confidentiality provisions cannot be invoked to withhold information requested by the Unit. (Note: This obligation does not apply to legal professionals or independent legal auditors if the information was obtained under professional secrecy).

Avoid "Tipping Off"

After taking the necessary steps required by FIU to file STR or SAR, ensuring the crucial information is not tipped off to the client in question is imperative for Regulated Entities.

Any person who notifies, warns, or discloses information related to Suspicious Transactions under review or investigation (in contravention of confidentiality rules) is subject to punishment with imprisonment and a hefty fine of not less than AED 50,000, or either penalty.

Comply with VASP-Specific Regulations

If the stakeholder is a VASP (defined as a person conducting one or more Virtual Asset activities specified in the Executive Regulations for commercial purposes), then complying with VASP-Specific Regulations (VARA) is required. This includes,

Obtaining the required license/registration.
Refraining from dealing in, promoting, or offering for sale Virtual Assets characterised by total anonymity or that prevent or obstruct the ability of the Competent Authorities to trace the Transaction or its parties.

Violation of this rule is punishable by imprisonment for a period of not less than three (3) months and a fine of not less than AED 50,000, or either penalty.

Record Keeping

Retaining all records, documents, and data relating to domestic and international transactions, AML/CFT compliance program and measures for the prescribed time is mandatory for Regulated Entities as per the UAE’s AML/CFT Law.

This also ensures their immediate availability to Competent Authorities upon request during regulatory inspections or audits.

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Challenges Faced by the Regulated Entities in complying with the legal obligations

While the 2025 law establishes clear compliance requirements, translating these obligations into operational reality presents significant challenges.

This section highlights the most significant hurdles businesses are likely to face under the strengthened AML framework, including Technology Limitations, Cost Burden, Knowledge & Skill Divide, Complex Ownership Structures, Operational Disruption & Impact on Customers. Further, the Cabinet Resolution No. 134 of 2025 will take effect from December 14, 2025, and regulated entities will have to ensure that they follow the regulations. Read our Guide to New Cabinet Resolution No. 134 of 2025 on AML Law No. 10 of 2025.

Technology Limitations

Many businesses rely on legacy systems that cannot support virtual asset monitoring, Screening against local and global watchlists, or real-time sanctions updates. Integrating blockchain analytics, tracking cryptocurrency transactions, and identifying complex ownership structures often requires significant technical upgrades.

Cost Burden

Implementing an enhanced AML framework, including technology, training, governance, and dedicated compliance roles, creates substantial financial strain, particularly for smaller DNFBPs and emerging VASPs.

Knowledge & Skill Divide

Many employees lack understanding of new requirements, particularly regarding virtual assets and Proliferation Financing. This increases the risk of misidentifying red flags or applying due diligence inconsistently.

Complex Ownership Structures

Identifying true Beneficial Owners in complex corporate structures with multiple layers, offshore entities, and nominee arrangements remains extremely difficult. Clients often cannot provide complete ownership information, and cross-border chains require verification in multiple jurisdictions, which can further delay onboarding and monitoring.

Operational Disruption & Impact on Customers

Enhanced CDD, STR reporting, and Sanctions Screening can slow onboarding, increase documentation demands, and create friction for legitimate customers. Businesses must balance regulatory expectations with customer experience.

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Best Practices for the Stakeholders to Ensure New UAE AML Law 2025 Compliance

While challenges are common, solutions exist. Businesses that approach AML compliance strategically distinguish themselves as market leaders from those merely avoiding penalties.

This section outlines the essential best practices for building an effective AML compliance under the 2025 framework. These include adopting a Risk-Based Approach, investing in Quality Technology Adoption, building a Strong Compliance Culture, Maintaining Documentation, and Leveraging Expertise.

Adopt Risk-Based Approach

Regulated Entities must allocate compliance resources based on actual risk levels. This includes conducting ML/FT risk assessment in line with NRA and SRA, supervisory guidance, global best practices, and categorising customers into risk tiers (low, medium, high) and applying appropriate due diligence levels, documenting Risk Assessment methodology and reviewing ratings regularly.

Invest in Quality Technology

Regulated Entities must deploy robust AML technology capable of real-time transaction monitoring, automated sanctions screening, blockchain analytics, and scalable case-management systems that integrate smoothly with existing infrastructure.

Build a Strong Compliance Culture

Regulated Entities must foster a culture where compliance is everyone’s responsibility. This requires visible senior management support, regular staff training & internal audits, clear accountability, open communication, and protected whistleblowing mechanisms to encourage internal reporting.

Maintain Documentation

Regulated Entities must maintain detailed records of all compliance decisions, due diligence, risk assessments, onboarding outcomes, suspicious transaction analyses, training sessions, and audits. Employing standardised templates and securing digital storage helps ensure consistency and accessibility.

Leverage Expertise

Regulated Entities must strengthen their AML frameworks by engaging specialised consultants, legal advisors, and technology experts for compliance program design, gap analysis, independent audits, system optimisation, and staff training development.

Reign Over Regulatory Changes

The New UAE AML/CFT Law of 2025, Federal Decree by Law No. 10 of 2025, significantly strengthens the national compliance framework, introducing new offences, virtual asset regulations, and higher penalties, amongst other things. For businesses, strong AML compliance is essential to protect their reputation and adhere to global best practices.

The message is clear: the cost of compliance is always lower than the cost of violation.

How AML UAE can support your transition to the NEW AML/CFT Law 10 of 2025

AML UAE can help you transition from the old Federal Decree Law No. 20 of 2018 to the new law.

We start by assessing the gaps in your existing AML/CFT framework.
We help you customise your AML/CFT policy and procedures to align them with the Federal Decree Law No. 10 of 2025 and the Cabinet Resolution No. 134 of 2025.
We provide customised AML training for your staff.
We help you select the right AML Software to automate your business processes.
We periodically perform health checks to ensure that you remain compliant at all times.

Frequently Asked Questions (FAQs)

Violations under the previous AML framework remain prosecutable because the UAE imposes no statute of limitations on ML offences, even after the introduction of the New UAE AML law of 2025.

Risk assessments must be continuously monitored and regularly updated.

The business relationship cannot proceed without identifying Beneficial Ownership.

Yes, but only if they comply with AML/CFT requirements, conduct robust KYC procedures, and ensure traceability of all virtual asset transactions.

Businesses enjoy legal immunity for STRs filed in good faith; liability only applies when reporting is made maliciously or with wrongful intent.

While not explicitly criminalised under the New Law of 2025, failure to train staff could constitute a violation of internal policy obligations.

Yes. Foreign nationals convicted under AML offences may face deportation in addition to other penalties under the 2025 law.

Compliance Doesn’t Wait - Neither Should You.

Adopt Our Tailored Solutions to Efficiently Navigate New UAE Law 2025

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About the Author

Pathik Shah

FCA, CAMS, CISA, CS, DISA (ICAI), FAFP (ICAI)

Pathik is an ACAMS-certified AML consultant specialising in governance, risk, and compliance for regulated entities in the UAE. He brings over 28 years of experience, with 1,000+ hours of AML training and 200+ advisory engagements across DNFBPs, VASPs, and FIs. He supports businesses in aligning with AML/CFT requirements from the CBUAE, DFSA, MoET, MoJ, VARA, CMA, FSRA, and FATF. Known for translating complex regulations into audit-ready procedures, Pathik enables operational clarity and compliance readiness.

Reach Out to Pathik

Beneficial Ownership Manipulation

Practices to streamline Sanctions Compliance and the FFR and PNMR Reporting on goAML

Pathik Shah

Last Updated: 12/04/2025

Protect your business with reliable and effective AML strategies with AML UAE.

Key Insights on Beneficial Ownership Manipulation Risks

Learn about the Beneficial Ownership Manipulation in the context of the UAE
Conceals the true ownership through shell companies and complex structures
Requires robust CDD measures to avoid ML/TF or PF-based risks
Requires strengthening of policies, procedures, and measures against Beneficial Ownership Manipulation

Introduction to Beneficial Ownership Manipulation

Beneficial Ownership Manipulation refers to the concealment of ownership or control that rests with a natural person to carry out a transaction on behalf of a customer, legal person, or arrangement. It is important for regulated entities to detect the shell companies and complex legal structures and identify the actual owner benefiting from such illegal proceeds to counter money-laundering and terrorist financing.

The act of Beneficial Ownership Manipulation facilitates the creation of a backdoor for activities such as money laundering, evading taxes, sanctions and terrorism financing to take place, as identifying true owners by regulatory authorities becomes difficult.

The business landscape in the UAE, which includes aspects such as international businesses, free zones and cross-border financial flows, is a highly susceptible sector prone to being used to disguise illicit funds as legitimate.

AML UAE steps in to address all your concerns as a person or entity functioning in the UAE. Our consulting firm supports businesses by helping them identify the Ultimate Beneficial Owner and their verification to mitigate risks such as Beneficial Ownership Manipulation.

Why Beneficial Ownership Manipulation Is a Critical AML Concern

Shell companies, trusts, nominee directors, layered structures, and offshore vehicles might often function as the corporate tools for facilitating the Beneficial Ownership Manipulation. Financial criminals often try to take advantage of the increased anonymity provided by trusts or legal arrangements to disguise true ownership and illicit funds.

In context with these corporate tools, identifying ultimate control, lack of updated documentation, and due to involvement of multiple companies and countries in complex corporate structures, it can be challenging for the regulatory authorities to counter such manipulative schemes.

Implementing robust CDD and EDD measures, such as capturing customers’ images, capturing metadata like internet protocol address and geolocation data during client interactions, facial and fingerprint scanning, and analysing the address provided, helps counter Beneficial Ownership Manipulation.

UAE AML Regulations Governing the Prevention of Beneficial Ownership Manipulation

Cabinet Resolution No. (109) of 2023 defines Beneficial Owner under Article 1, Identification of Beneficial Owner under Article 5, ensuring Transparency of Beneficial Owner with accurate and updated records under Article 6, Issuing notices to update data under Article 7, Registering Beneficial Owners under Article 8 as measures to put an end Beneficial Ownership Manipulation.

Accordingly, a beneficial owner is a Natural Person to whom ultimate ownership vests or who exercises ultimate control over Legal Person directly or through a chain of ownership or control, or other indirect means. It also means Natural Person on whose behalf transactions are conducted or who legally exercises ultimate effective control over Legal Person or arrangement.

As per Article 5 of the said resolution, real beneficiary of Legal Person is whoever owns or finally controls Legal Person, through direct or indirect ownership shares of (25) twenty-five per cent or more of Legal Person capital. Also, it shall be the one who has the right to vote in it by shares of (25) twenty-five per cent or more including the retention of such ownership through ownership or control or through control by any other means such as the right to appoint or remove majority of the BOD members.

Common Methods of Beneficial Ownership Manipulation

The common methods used for Beneficial Ownership Manipulation include using shell companies, as they lack proper addresses and do not conduct any business activities. They also possess complex ownership structures to create distance between the Beneficial Owner and the asset, using bearer shares and bearer share warrants to obscure the relationship between the Beneficial Owner and the assets.

In addition to this, unrestricted use of legal persons as directors and using formal nominee shareholders to cleverly avoid laws governing ownership or trade in foreign jurisdictions, as they are difficult to identify and do not have the expertise or the resources to understand the legal responsibilities that fall upon them, are often used as common methods to carry out Beneficial Ownership Manipulation.

Furthermore, other means include becoming the new owner to utilize the credit history of the shelf companies, utilising the cash-intensive nature of front companies’ business operations and falsifying loans and invoices.

Red Flags and Risk Indicators for Beneficial Ownership Manipulation

When a client fails or hesitates to provide any personal details, information pertaining to the source of their funds, motive behind the transaction, and persons involved in the transaction, it can become a cause for concern highlighting the possibility of Beneficial Ownership Manipulation.

Individuals or connected person(s) who have been previously convicted of the charges of fraud, tax evasion or other serious crimes, have transactions which are inconsistent with their financial profiles are some key risk indicators.

Legal persons and arrangements registered under a name lacking business or company activity, whose address and company profile are mismatched, engaging in transactions with low-tax jurisdictions or international trade or finance centre are notable red flags.

Shell companies that lack single identifiable employee or staff or just have a single person as an employee, or do not make any contribution towards social benefits such as superannuation, retirement funds taxes can be concerning factors.

How UAE Entities Can Strengthen Controls Against Beneficial Ownership Manipulation

It is pertinent for Regulated Entities operating within the UAE to ensure that robust control measures are in place to prevent Beneficial Ownership Manipulation and prevent ML/TF or PF-based risks.

It is essential that KYC and EDD procedures are in place, conducting proper independent verification of the details provided by UBOs, overcoming multiple jurisdictions by incorporating technology to discern ownership, and aligning internal reporting, record-keeping, policies, and procedures accordingly.

AML UAE bridges this gap by providing services pertaining to AML Software Selection for UBO audits, remediation of ownership records, supporting Regulatory Reporting such as STR/SAR filing for suspicious Beneficial Ownership structures.

Enhancing Transparency to Combat Beneficial Ownership Manipulation

It is important to maintain accuracy while recording UBO information to counter money laundering in UAE. Entities are expected to initiate controls and measures to conduct ongoing monitoring and verification, such as record-keeping and tech-mapping for identification.

AML UAE comes here to make compliance easy for Regulated Entities by identifying the actual Beneficial Owners through its managed KYC and CDD related services and combating any such manipulation schemes. These robust services ensure UBO compliance is conducted, and financial crime risks are reduced.

FAQs on Beneficial Ownership Manipulation

Beneficial Ownership Manipulation involves obscuring the true identity of the person who ultimately owns, controls or benefits from any legal entity.

Regulated Entities counters the Beneficial Ownership Manipulation related issues by identifying UBOs through KYC/CDD, by verifying the ownership structures of the legal entity.

The most commonly used methods to manipulate beneficial ownership records include using shell companies, creating complex legal structures, providing fabricated documents for records and using third parties to conceal the true identity of UBO.

KYC works as the first line of defense in preventing beneficial ownership manipulation by verifying the customer’s identity through collection of their ID documents, address verification, and documents related to their source of funds to bring full clarity on who is actually being benefitted through the businesses.

Our Timely and Accurate AML consulting Services

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AML/CFT Policy Drafting

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Regulatory Reporting

Managed KYC and CDD

AML/CFT Health Check

Risk Assessment Report

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About the Author

Pathik Shah

FCA, CAMS, CISA, CS, DISA (ICAI), FAFP (ICAI)

Pathik is an ACAMS-certified AML consultant specialising in governance, risk, and compliance for regulated entities in the UAE. He brings over 28 years of experience, with 1,000+ hours of AML training and 200+ advisory engagements across DNFBPs, VASPs, and FIs. He supports businesses in aligning with AML/CFT requirements from the CBUAE, DFSA, MoET, MoJ, VARA, CMA, FSRA, and FATF. Known for translating complex regulations into audit-ready procedures, Pathik enables operational clarity and compliance readiness.

Reach Out to Pathik

Deepfake Impersonation

Pathik Shah

Last Updated: 12/03/2025

Protect your business with reliable and effective AML strategies with AML UAE.

Key Highlights: Countering Deepfake Threats

Deepfakes use AI-generated media to create synthetic identities and bypass KYC checks
They pose a critical threat to remote onboarding and video verification processes
UAE laws require advanced controls and detection measures
Essential defenses include liveness detection, behavioural analysis, and staff training

Understanding Deepfake Impersonation in AML Compliance

Deepfakes are AI-generated synthetic media which looks realistic but are fake videos, audios, images that can impersonate real individuals. Using machine-learning, these tools can convincingly replicate a person’s appearance, voice, and mannerisms, enabling fraudsters to bypass traditional identity verification processes.

Deepfake risks are a critical concern for financial institutions, DNFBPs, and Virtual Asset Service Providers (VASPs) because they enable highly convincing identity fraud, account takeovers, and social engineering attacks that can bypass traditional KYC and CDD safeguards.

Deepfakes weaken customer-verification processes, erode trust, and create new avenues for illicit transactions and money-laundering activities making them a significant threat within the UAE’s rapidly digitising financial ecosystem.

High-risk businesses operating within the UAE including remittance providers, crypto platforms, and precious metal traders, face elevated deepfake exposure. Their reliance on remote verification, cross-border operations, and high-value transactions makes deepfake detection capabilities essential for maintaining robust AML compliance.

Why Deepfake Impersonation is an Emerging AML Threat

Deepfake impersonation is rapidly becoming a sophisticated tool for financial criminals, enabling the creation of synthetic identities used for fraudulent onboarding, account takeovers, and unauthorised access to customer accounts.

With many institutions in the UAE relying on video KYC and remote verification, deepfakes can convincingly imitate customers or authorised representatives, making it easier to bypass conventional identity-verification controls.

Criminal networks increasingly deploy deepfake technology to open mule accounts, facilitate illicit layering of funds, and disguise sanctioned individuals attempting to re-enter the financial system. These threats are amplified in high-risk sectors that depend heavily on digital onboarding and cross-border interactions.

AML UAE assists in providing Identity-Verification solutions and AML Risk Assessment services which are now essential to counter this next-generation threat to financial integrity.

Typologies of Deepfake Abuse in Money Laundering

Deepfakes are increasingly being weaponised across multiple stages of the Money Laundering cycle, enabling criminals to exploit digital onboarding, internal workflows, and cross-border financial networks.

One emerging typology is fraudulent customer onboarding, where AI-generated faces, voices, and documents are used to create synthetic identities and open accounts that bypass KYC controls.

Criminals are also using hyper-realistic voice or video of senior executives to authorise fraudulent payments or request urgent fund transfers. One notable case of a Hong Kong based firm involved a finance worker transferring $25 million after a deep-faked video conference call with purported company executives.

Moreover, deepfake-enabled social engineering allows threat actors to manipulate staff, override verification steps, or obtain confidential customer information.

Deepfakes create added exposure in correspondent banking and cross-border transfers by allowing criminals to obscure beneficial ownership and execute layered transactions that evade traditional AML controls.

UAE AML Regulatory Expectations Regarding Deepfake Threats

The UAE’s regulatory framework imposes stringent obligations on financial institutions to combat digital identity fraud. Federal Decree by Law No. 10 of 2025 broadened the scope to include offenses committed “through digital systems, virtual assets, and cryptographic technologies”, while Federal Decree by Law No. 6 of 2025 grants the CBUAE sweeping powers to mandate controls for emerging technologies that could undermine financial system trust.

The Cabinet Resolution No. 10 of 2019 requires reliable, independent source documents for digital customer due diligence, making deepfake-enabled synthetic identities a direct compliance breach. Moreover, Federal Decree by Law No. 34 of 2021 on Combating Rumours and Cybercrimes criminalises the use of online means to create fake accounts and impersonate others, providing a legal basis for prosecuting deepfake-enabled fraud.

The CBUAE mandated a phase-out of SMS and email OTPs by March 2026, requiring risk-based multi-factor authentication, leveraging facial biometrics, soft tokens, and Emirates ID integration. Now, DNFBPs and financial institutions must implement layered authentication, continuous fraud monitoring, and adaptive risk scoring.

AML UAE provides bespoke Compliance Consulting and Regulatory Support Services to help institutions in UAE stay aligned with regulatory expectations and emerging deepfake threat landscapes.

Controls and Detection Measures Against Deepfake Impersonation

The entities must implement multi-layered verification controls to counter deepfake threats. This begins with advanced KYC Solutions featuring liveness detection, biometric authentication, and behavioural analysis like micro-expression tracking to distinguish human users from AI-generated synthetics.

Video-KYC and remote onboarding workflows should be reinforced through continuous, risk-based monitoring capable of flagging behavioural anomalies and inconsistent digital footprints.

Supplementing these measures with AI-driven fraud detection models and external identity verification services creates a defensive ecosystem capable of identifying sophisticated impersonation attempts.

For institutions seeking to strengthen their defenses, AML UAE offers tailored services in AML Technology Integration, advanced KYC Solutions, and Behavioural Transaction Monitoring to build regulator-approved frameworks resilient to deepfake threats.

Strengthening Resilience Through AML UAE Services

AML UAE provides specialised support to help organizations combat sophisticated threats like deepfake impersonation and synthetic identity fraud. Our services include Digital Onboarding Advisory to integrate liveness detection and biometric verification, enhanced due diligence processes for high-risk customers, and comprehensive Customer Risk Assessment software.

We conduct Regulatory Gap Analyses to identify vulnerabilities in your current controls and assist with AML Technology Implementation to deploy AI-powered detection tools.

By partnering with AML UAE, financial institutions and DNFBPs gain a strategic ally in building resilient, future-proof compliance programs that effectively address emerging digital risks while maintaining full regulatory alignment.

Building Future-Ready AML Defenses Against Deepfake Impersonation

Deepfake impersonation poses serious threats to Financial Institutions, DNFBPs, VASPs across UAE requiring proactive investment in advanced liveness detection, multi-layered authentication, and continuous monitoring systems along with staff training. As regulatory expectations intensify, institutions must move beyond reactive compliance.

AML UAE stands ready to support the Regulated Entities with its dedicated KYC and CDD-based services. Alongside detecting deepfake impersonation, AML UAE provides you with specialised advisory to help businesses in complying with regulatory frameworks of AML/CFT in the UAE, integrated with deepfake-resistant solutions to safeguard financial integrity in the digital age.

Deepfake Impersonation Insights – FAQs

In the context of AML, Deepfake Impersonation is one of the most pertinent issues faced by Regulated Entities, as fraudsters attempt to impersonate real identities through AI-generated synthetic IDs to bypass KYC/CDD processes.

Deepfake technology is primarily used by financial criminals to conceal their identity by providing fabricated documents during the KYC/CDD process with a deliberate attempt to manipulate the market and conduct ML/TF or PF-based activities.

Financial Institutions (FIs) can detect Deepfake Impersonation by implementing advanced detection tools with their existing systems, such as AI-based liveness detection software, dedicated biometric authentication tools, ongoing monitoring systems, robust internal policy and control systems to counter such impersonation-based instances, and staying compliant.

In the context of AML compliance, deepfake fraud poses multiple risks such as bypassing KYC/CDD procedures through synthetic IDs, higher possibilities of financial scams, manipulating sanctions screening, and all of these would lead Regulated Entities to non-compliance and attract hefty penalties.

AI helps in preventing Deepfake Impersonation through AI-driven fraud detection systems, algorithm-based liveness checks, multimodal verification of all provided data, seamless integration with existing systems, and continuous learning to adapt to evolving deepfake risks.

Our Timely and Accurate AML consulting Services

For your smooth journey towards your goals

Explore Our Services:

AML/CFT Policy Drafting

AML Training

AML Software Selection

Regulatory Reporting

Managed KYC and CDD

AML/CFT Health Check

Risk Assessment Report

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About the Author

Pathik Shah

FCA, CAMS, CISA, CS, DISA (ICAI), FAFP (ICAI)

Pathik is an ACAMS-certified AML consultant specialising in governance, risk, and compliance for regulated entities in the UAE. He brings over 28 years of experience, with 1,000+ hours of AML training and 200+ advisory engagements across DNFBPs, VASPs, and FIs. He supports businesses in aligning with AML/CFT requirements from the CBUAE, DFSA, MoET, MoJ, VARA, CMA, FSRA, and FATF. Known for translating complex regulations into audit-ready procedures, Pathik enables operational clarity and compliance readiness.

Reach Out to Pathik

How to Detect High-risk Customer and Safeguard Your Business

Pathik Shah

Last Updated: 12/03/2025

Protect your business with reliable and effective AML strategies with AML UAE.

Quick Guide: Identifying AML High-Risk Customers

High-risk customers are those whose profile, geography or business activity increase the likelihood of Money Laundering or Terrorist Financing (ML/TF).
Common high risk indicators include PEP status, complex ownership structures, unusual transactional patterns, and cash-intensive or high risk business activities.
Such customers require Enhanced Due Diligence (EDD) and ongoing monitoring to understand their source of funds and business purpose.
Effective risk classification helps institutions prioritise monitoring and prevent exposure to ML/TF.

How to Detect High-risk Customer and Safeguard Your Business

Money laundering and terrorism financing are significant threats to the integrity of the global economy. Various countries have implemented regulatory anti-money laundering and combating of financing of terrorism (AML/CFT) frameworks, laying down detailed guidelines around how to detect high-risk customers and safeguard the business.

Similarly, UAE authorities have implemented the AML/CFT regulations covering Financial Institutions, Virtual Assets Service Providers (VASPs), and Designated Non-Financial Businesses and Professions (DNFBPs). The UAE AML regulations mandate the regulated entities to conduct customer risk assessments to detect high-risk customers and apply Enhanced Due Diligence measures.

This article discusses the aspects to be considered for identifying high-risk customers and potentially suspicious activities and developing robust customer risk assessment frameworks.

Understanding AML compliance and high-risk customers

Before discussing the identification of high-risk customers, it is essential to understand why AML/CFT compliance is necessary and what customer characteristics would be considered high-risk from a money laundering perspective.

What is AML compliance?

Money laundering is a global problem adversely impacting the security and stability of society as a whole. Under money laundering activities, the financial criminals attempt to hide the source of the illegally obtained proceeds and disguise it to make it appear as though they were generated from legitimate economic activities. While through terrorism financing, the criminal provides financial assistance to propagate terrorist activities.

To fight these vices, there is a need for AML/CFT compliance. AML/CFT compliance is a set of measures implemented to identify and prevent money laundering and terrorism financing activities. The AML/CFT compliance includes developing robust internal policies and procedures to identify and verify the customers and monitor their activities to detect any unusual or suspicious behaviour.

AML compliance is mandatory for regulated organizations to safeguard their businesses against exploitation by financial criminals, avoid administrative penalties for regulatory non-compliance and ensure the integrity of the business. The failure to comply with AML regulations results in huge fines, legal actions against the business and irreversible damage to the reputation of the organization.

Who are considered high-risk customers under UAE AML regulations?

The customers who usually operate in sectors or jurisdictions that pose elevated exposure to financial crime, particularly when they engage in high risk business activities that increase AML scrutiny. The following would be construed as a high-risk customer from ML/FT perspective:

Individuals who are Politically Exposed Persons (PEP) and the individual or legal person associated with PEPs
The PEP is entrusted with prominent public function, domestically or in foreign countries and the Heads of International Organizations. Given the PEP’s access to government funds and power to influence government decisions, they are more susceptible to criminal activities such as corruption and, in turn, money laundering to hide these illegal funds. The close family members and business associates would also be considered as PEP for risk classification of the customer under AML compliance.
Individuals or entities hailing from or are closely connected with high-risk countries
These high-risk countries are vulnerable to high risk of money laundering due to factors like a high rate of corruption, less transparency around business activities and beneficial ownership, and weaker AML/CFT measures known to have been assisting the countries or organizations supporting terrorist activities.
The individuals or entities whose behaviour or transactions suggest the presence of ML/FT suspicion
The customer’s behaviour while establishing a business relationship or conducting the customer due diligence suggests any connection with proceeds or crime or the transactions executed by the customer are contrary to the customer’s profile.

The customers engaged in business are considered as high-risk, or where the customer’s business activities are associated with ML/FT typologies, such as Virtual Assets Service Provider, where large amounts of fiat currency can be easily converted into cryptocurrencies and transferred across the border without actually disclosing the identity or drawing the attention of the authorities.

Such categories are typically classified as AML high-risk customers because their transactions require enhanced controls and continuous monitoring This risk-based approach is mandated under Article 19 of Federal Decree-Law No. (10) of 2025, which requires Financial Institutions, VASPs, and DNFBPs to apply Enhanced Due Diligence (EDD) measures to these customers to manage the higher risk and determine whether they are connected with any illegal activities, money laundering or financing of terrorism.

Importance of identifying high-risk customers

Identifying high-risk customers and applying required due diligence measures to mitigate the increased risk are critical aspects of an effective AML program. It helps the regulated organization maintain integrity among the stakeholders and customers, safeguard the business from being involved in money laundering or terrorism funding activities, and stay 100% AML compliant.

Protecting your business from financial crimes

Not just directly indulging in money laundering or terrorism financing activities is a federal crime, but indirectly assisting anybody, knowingly or unknowingly, is also a crime punishable under UAE AML regulations. The regulated organizations, whether Financial Institutions, DNFBPs or VASPs, would be subject to heavy monetary fines and sanctions from the Supervisory Authority for executing any financial crime through its business.

Hence, regulated organizations need to identify high-risk customers and apply additional verification measures to prevent the misuse of the business by financial criminals and money launderers.

The regulated organization must use rigorous identity verification checks to detect the customers connected with high-risk parameters like high-risk countries and robust transaction monitoring systems to identify unusual patterns or suspicious customer behaviour.

Once identified, high-risk customers should be subject to EDD measures, which include obtaining additional information and documents about customer identity, financial position (source of funds and source of wealth), frequent, ongoing monitoring, etc.

Meeting regulatory requirements and staying compliant

AML regulations in UAE mandate the regulated organization to apply adequate AML measures and stay 100% AML compliant. Non-compliance with AML regulatory requirements by any regulated organization calls for severe actions from the authorities, including imposing hefty administrative fines, imprisonment, restriction on the business activities or even termination of the business license.

As part of the AML Compliance program, the regulated organization must identify high-risk customers, take adequate mitigation measures, and report to the Financial Intelligence Unit (FIU) to remain AML compliant and avoid non-compliance penalties.

The regulated organizations must adhere to the UAE’s AML Federal Law, implementing Cabinet Decision and supplementary guidelines issued by the relevant Supervisory Authority. These regulations require the Financial Institutions, DNFBPs and the VASPs to implement AML compliance programs to identify and report suspicious activity. One of the critical aspects of the AML compliance framework is identifying high-risk customers.

Maintaining a solid reputation and business integrity

The regulated organizations need to protect their reputation and integrity to survive in the economy and maintain customer trust. The involvement of the regulated organizations in a money laundering scheme or any other financial crime badly damages its reputation amongst its stakeholders and customers in an irreversible manner. Identifying high-risk customers can help detect and prevent such potential indulgence in financial crime.

Instead, implementing a strong AML culture in the organization and demonstrating a commitment towards AML compliance increases the organization’s reputation in the market. These AML measures could include comprehensive AML policies and procedures, adequate customer due diligence process, imparting AML training to employees, etc. The customers and other stakeholders are more inclined towards working with businesses compliant with the regulatory framework.

Identifying high-risk customers is critical for regulated organizations to protect themselves from getting inadvertently involved in financial crimes, stay compliant with regulatory requirements, and avoid any reputational damage. By implementing effective AML compliance programs, regulated organizations can detect suspicious elements posing higher ML/FT risks and prevent money laundering activities from occurring through their businesses.

Customer Risk Assessment and adequate Customer Due Diligence

It is pertinent to design and implement a robust customer risk assessment procedure and apply adequate Customer Due Diligence (CDD) measures to identify high-risk customers, exposing the business to increased ML/FT risks. This part of AML compliance involves identifying the customers and their Ultimate Beneficial Owners (UBOs) and verifying the customer identity and other information to create the customer’s risk profile and identify any suspicion.

Developing a risk assessment framework

It is essential to assess the risk of each customer the organization is dealing with. The customer risk assessment procedure is about obtaining customers’ identification information, like name, nationality, business activities, etc., to determine the ML/FT risk they bring.

The factors to be considered while determining the customer risk are the nature of the customer, its business activities, the geography of the customers, the nature and purpose of the business relationship, transactional parameters – value, mode of payment, etc. Customers involved in opaque or cash-heavy sectors also trigger high risk AML indicators due to the greater potential for concealment or misuse of funds.

By developing a comprehensive customer risk assessment framework, regulated organizations can adopt a risk-based approach and prioritize the customer due diligence measures depending on the risk associated with the customers. The regulated organisation can design and implement adequate risk mitigation measures by evaluating the specific ML/FT risks associated with the customers.

Performing appropriate Customer Due Diligence

Customer Due Diligence (CDD) measure involves:

Identifying the customer and verifying the customer’s identity using reliable, independent sources, including the customer’s valid identification documents
Conducting screening against the sanctions and adverse media to check customer’s background and reputation
Performing customer risk assessment, based on the customer’s profile and the transactional parameters, to identify the ML/FT risk the customer is posing to the business.

The regulated organizations must design a strong CDD program, including policies, procedures, and controls. The organizations may also deploy AML software to perform CDD, such as using Artificial Intelligence or Machine Learning to screen the customers or create customer risk profiles, evaluating the customer’s identification data and documents.

The AML software can help regulated organizations to identify suspicious activities timely and immediately report the same to the authorities, reducing false positive matches.

The Customer Due Diligence process is incomplete without ongoing monitoring of the customer’s profile to identify changes in customer identification information, and ongoing transaction monitoring to determine whether the customer’s behaviour is in sync with the originally assessed risk or customer rile level needs to be re-evaluated.

Enhanced Due Diligence for high-risk customers

Application of Enhanced Due Diligence (EDD) is mandatory for customers identified as high-risk. The EDD is an extension of the CDD process, requiring the regulated organizations to apply additional checks and verification measures to evaluate the customer’s identity (including the beneficial owners and the controlling parties), their financial position, the purpose of the transaction, etc.

EDD involves obtaining information about the customer’s and Ultimate Beneficial Owners’ source of funds and wealth and determining its legitimacy. Further, UAE AML regulations mandate the regulated organizations to ensure that the first payment towards their product or services is received from the customer’s bank account in a bank subject to similar CDD measures. Customers and transactions with high-risk customers are to be subjected to increased ongoing monitoring to assess and detect any unusual patterns or suspicious activities.

No business relationship can be established or a transaction be executed with a high-risk customer without the approval of the regulated organization’s senior management.

For example, suppose a customer is associated with a high-risk country. In that case, the regulated organization must apply rigorous verification measures and implement EDD to manage the increased ML/FT risk associated with a customer hailing from a high-risk country.

Red Flags and potential risk indicators of high-risk customers

Detecting the ML/FT red flags and risk indicators is essential to determining the risk associated with a customer and classifying them as high-risk customers. Here are a few examples of ML/FT red flags that can suggest the involvement of proceeds of crime, money laundering or terrorism financing activities:

Unusual transaction patterns

Transactions inconsistent with a customer’s profile or nature of business activities, unusually large, or series of transactions over a short period can indicate money laundering activities. Additionally, transactions involving unnecessary intermediaries or multiple jurisdictions can raise red flags.

For example, if a customer with a fixed monthly income starts making large value transactions frequently, contrary to its annual income, it indicates suspicion around the source of funds.

Incomplete, fake or inconsistent information

Customers who provide incomplete, incorrect or inconsistent information are red flags, suggesting the customer attempts to hide their identity or disguise the purpose of the transaction. The regulated organizations should be cautious while verifying the customer’s identity and establishing its risk profile to determine the legitimacy of the identification information and validity of the identity documents.

E.g., if a customer provides a different address every time they interact or multiple customers use the same contact number/email ID, suggest a potential money laundering activity involving multiple parties across different jurisdictions. Similarly, if the customer’s identification documents prove to be forged upon verification, a red flag indicates potential involvement in financial crime activities and hence the need to mislead the identification.

High-risk occupations or connect with high-risk business segments

Customers with high-risk business activities, such as gambling, real estate, and precious metals, prone to higher exploitation by money launderers, require enhanced verification measures.

E.g., if a customer engaged in a real estate brokerage business insists on cash payment, it could be considered a potential risk indicator suggesting money laundering activities.

Geographical risk factors

Customers located in or closely connected with high-risk countries, such as those with no or weaker AML regulations, terrorist activity, or high-rate of corruption, should also be considered as high-risk to apply AML/CFT measures.

E.g., a customer from a country mentioned in the FATF’s grey list of countries subject to increased monitoring is to be considered for enhanced customer due diligence measures.

Identifying the potential risk indicators helps the regulated organization proactively detect high-risk customers and apply adequate measures to manage the increased ML/FT risk, stay compliant, and avoid non-compliance penalties.

These high risk customers examples reflect profiles that regulators closely monitor due to their vulnerability to misuse.

With AML UAE’s expertise, manage your increased ML/FT risk posed by high-risk customers

Identifying high-risk customers and deploying mitigative measures is crucial for regulated organizations to manage regulatory compliance, safeguard the business from ML/FT vulnerabilities and avoid reputational damage.

AML UAE is an AML Consultancy service provider that offers end-to-end support in your AML compliance journey. We help clients conduct the overall Enterprise-Wide Risk assessment and design the tailor-made AML compliance framework, including controls and procedures to identify high-risk customers and enlist the potential risk indicator and red flags relevant to the business activities. We assist clients in effectively implementing the AML framework by imparting comprehensive AML training to the client’s AML/CFT Compliance Officer and the compliance team.

Stay safe, Stay compliant!

FAQs on High-risk customers

High-risk customers are individuals or entities whose profiles, activities, or jurisdictions expose a business to greater AML/CFT risks compared to regular customers.

High-risk customers can be identified through risk indicators like unusual transaction patterns, high-risk geographies, complex ownership structures, or engagement in high-risk business activities.

To assess a high-risk customer, businesses must obtain additional information and supporting documents that clarify the customer’s identity, ownership, business activity, and transaction purpose, as required under EDD.

Personal lifestyle preferences or unrelated demographic details are not considered in AML risk classification, as risk assessment focuses on financial behaviour, ownership, transactional patterns, business activities and geography.

Make significant progress in your fight against financial crimes,

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About the Author

Pathik Shah

FCA, CAMS, CISA, CS, DISA (ICAI), FAFP (ICAI)

Pathik is an ACAMS-certified AML consultant specialising in governance, risk, and compliance for regulated entities in the UAE. He brings over 28 years of experience, with 1,000+ hours of AML training and 200+ advisory engagements across DNFBPs, VASPs, and FIs. He supports businesses in aligning with AML/CFT requirements from the CBUAE, DFSA, MoET, MoJ, VARA, CMA, FSRA, and FATF. Known for translating complex regulations into audit-ready procedures, Pathik enables operational clarity and compliance readiness.

Reach Out to Pathik

The Annual UAE UBO Checklist: Real Beneficiary Verification for AML/CFT Compliance

The Cabinet Resolution No. (109) of 2023 on Regulating the Real Beneficiary Procedures requires Regulated Entities to establish a framework for identifying and verifying the Ultimate Beneficial Owners (UBOS) of legal persons.

DNFBPs, therefore, have a two-fold responsibility, one being submitting their own accurate Real Beneficiary Register and having in place an AML/CFT Compliance Program that helps identify and verify the UBOs of every client the DNFBP onboards as a core component of their CDD exercise.

Failure in either of these two responsibilities results in a regulatory breach of the UBO Law, which invites administrative fines and penalties.

This is why we have developed and come up with the Annual UAE UBO Checklist: Real Beneficiary Verification for AML/CFT Compliance. This checklist works as a practical guide with actionable pointers providing a structured methodology for DNFBPs to manage and organise their internal AML/CFT Compliance Framework and align their CDD processes to ensure compliance. The checklist contains:

Two-Part Annual Checklist: Covering both the DNFBPs’ own reporting requirements and external client identification and verification duties.
A ready-to-use RACI Matrix to delegate tasks across the organisation to ensure well-coordinated task allocation and assignment of accountability around the UBO review process.
Key best practices around ensuring compliance with UBO Law and the Latest Guidelines for DNFBPs issued in 2025 to avoid common compliance pitfalls.

Do not wait for the regulatory inspection to find flaws in your UBO Compliance Framework. Demonstrate proactive Real Beneficiary compliance by downloading and arming yourself with the actionable pointers mentioned in the Checklist.

Our Latest Checklists

Confused with how to mitigate ML, FT, and PF risks within your Regulated Entity?

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Guide to New Cabinet Resolution No. 134 of 2025 on AML Law No. 10 of 2025

Pathik Shah

Protect your business with reliable and effective AML strategies with AML UAE.

Cabinet Resolution No. (134) of 2025: At a glance

Cabinet Resolution No. (134) of 2025 to take effect from December 14, 2025 and it will repeal the Cabinet Resolution No. (10) of 2019
The scope expands from AML/CFT to include Proliferation Financing (PF) explicitly across all sectors impacted by the resolution
Gaming Operators are now included in the definition of DNFBPs, reporting threshold being AED 11,000
The authority, powers, and scope of the UAE FIU increased to include PF risks and the expansion of Freezing and Suspension powers
Scope expansion of risks that VASPs must mitigate, increased regulatory scrutiny, and detailed requirements for Virtual Asset Transfers.

The Shift from Cabinet Resolution No. 10 of 2019 to Cabinet Resolution No. 134 of 2025

Starting from December 14, 2025, the Cabinet Resolution No. (134) of 2025 Concerning the Executive Regulations of Federal Decree-Law No. (10) of 2025 Concerning Combating Money Laundering, Terrorist Financing, and the Financing of the Proliferation of Weapons repeals the Cabinet Resolution No. (10) of 2019 and brings forth sweeping changes to the anti-financial crime framework in UAE.

The primary legislative shift is the replacement of the words “Combating the Financing of Illegal Organisations” with the explicit obligations to combat and mitigate the Financing of the Proliferation of Weapons (PF).

This requires all Regulated Entities, i.e., Financial Institutions (FIs), Designated Non-Financial Businesses and Professions (DNFBPs), and Virtual Asset Service Providers (VASPs) to identify, assess, and mitigate PF risks in their AML/CFT compliance framework.

The scope of the resolution is expanded to include Commercial Gaming Operators as the newly introduced category of DNFBPs, subject to AML/CFT and CPF compliance obligations.

VASPs face increased scrutiny and obligations pertaining to wire transfer rules requiring retention of accurate information of originators and beneficiaries according to the “Travel Rule”.

Additionally, the UAE FIU’s powers have significantly increased in the context of freezing of suspicious funds, and new definitions for roles such as Nominee Director and Nominee Shareholder have been included to facilitate beneficial owner (UBO) identification.

Read our comprehensive guide to Anti-Money Laundering (AML) laws in the UAE for a more detailed understanding.

Major Scope Expansions: Proliferation Financing and New Sectors

The 2025 cabinet resolution fundamentally restructures the regulatory landscape by focusing on three major areas, namely: the inclusion of PF, the introduction of the commercial gaming sector into DNFBPs’ definition and the deep integration of AML/CFT and CPF obligations for VASPs.

Integration of Proliferation Financing (PF)

The new resolution explicitly mandates the inclusion of Proliferation Financing risk mitigation for all sectors requiring Regulated Entities to include PF into their:

Risk Assessment: Regulated Entities must now identify, assess, and implement control measures to mitigate PF risks to their business through Enterprise-Wide Risk Assessment (EWRA).
TFS Measures: Conduct a rigorous review of business relationships to ensure non-violation of Targeted Financial Sanctions (TFS) requirements by detecting and preventing potential TFS violations by identifying PF risks and mitigating them in a timely manner. Regulated Entities must specifically screen business relationships against PF risks.
AML Compliance Officer Responsibilities: Must include reviewing internal policies and procedures’ efficacy in the context of mitigating PF risks effectively.

The New "Commercial Gaming" Sector

The Commercial Gaming Sector, which includes Commercial Games and Gaming Operators, are formally recognised and defined as DNFBPs under the new resolution. The AML/CFT and CPF obligations for Gaming Operators get triggered when the threshold of 11,000 (eleven thousand) AED is crossed either through a single or a series of transactions.

Deep Integration of VASPs

The new 2025 resolution solidifies the role of VASPs and enforces detailed operational requirements, which were previously only imposed on traditional FIs. Some of these expanded obligations upon VASPs include compliance with wire transfer obligations as specified under Articles 26 to 33, as specified under Article 36 of the 2025 resolution. These requirements include

Originator VASP Obligations
Beneficiary VASP Obligations
TFS Obligations as applicable to FIs
Record-keeping obligations as applicable to FIs.

Operational Impact: Changes to the Core AML Obligations

The operational steps for AML/CFT and CPF compliance remain the same, while the intensity or depth of scrutiny required varies according to the 2025 resolution and can be divided under four major categories such as Governance and Risk Management, Customer Onboarding and Due Diligence, Transaction Monitoring and Regulatory Reporting, and Data Maintenance and Record Keeping.

The Executive Regulations of Federal Decree Law No. (10) of 2025 (Cabinet Resolution No. 134 of 2025), while remaining fundamentally and structurally consistent with repealed legislation, do expand or enhance the scope of earlier provisions, making their compliance an unavoidable obligation upon Regulated Entities.

Governance and Risk Management

The goAML Registration and Reporting methodology remains consistent, while the roles and responsibilities of Senior Management are expanded in terms of having to approve internal policies and controls and approve high-risk business relationships (specifically including PF risk emanating from a business relationship). The Compliance Officer must review the internal AML, CFT and CPF Compliance Framework to manage and mitigate identified PF risks. REs are also required to assess ML, FT and PF risks arising from the introduction of new products, professional services, or technologies prior to their implementation.

Customer Onboarding and Due Diligence

The broadened scope of DNFBPs, now including Gaming Operators, must implement and continue CDD obligations prescribed under the legislation while keeping in mind that the Screening obligations, Customer Risk Profiling, and risk-based due diligence measures are implemented while considering PF risks posed by customers to the business. In simple words, the customer onboarding and due diligence process must be risk-based and recalibrated to include the PF risks faced by the business. The identification of the UBO process is sharpened with definitions clarifying the position of Nominee Shareholders and Nominee Directors, who cannot be deemed as UBOs.

Transaction Monitoring and Reporting

The monitoring of Business Relationships obligations remains consistent; however, VASPs must now comply with Wire Transfer Obligations for obtaining and retaining originator and beneficiary information. All Regulated Entities must continue to file STRs/SARs with FIU immediately without delay, regardless of transaction value.

Data Maintenance and Record Keeping

The mandatory record retention period of 5 (five) years remains the same. Regulated Entities are obligated to update essential information, including the beneficial ownership database, within 15 (fifteen) working days of any change identified. All records must be accessible and retrievable for tracing the legitimacy of transactions.

Operational Impact of Cabinet Resolution No. (134) of 2025 to the 12 Core AML Obligations
AML/CFT Compliance Obligations	Comparative Analysis of Cabinet Resolution No. (134) of 2025 vs. Cabinet Resolution No. (10) of 2019	Action Required by Regulated Entities, including Gaming Operators, as a newly introduced category of DNFBPs
Governance and Risk Management
1. Reporting System (goAML)	Consistent	Regulated Entities can continue relying on the goAML portal
2. Appointing Compliance Officer	Expanded Scope	The Compliance Officer must review the AML Framework of the Regulated Entity for effective mitigation of Proliferation Financing (PF) risks
3. Enterprise-Wide Risk Assessment	Expanded Scope	Regulated Entities must factor in the PF risks to which their business is exposed while conducting and revising EWRA
4. Internal Policies & Controls	Expanded Scope	RE’s AML Policies must consider PF red-flags, typologies, and control measures to identify, assess and mitigate PF risks
Customer Onboarding and Due Diligence
5. CDD Process	Consistent	The CDD Process remains largely consistent.
6. Name Screening (TFS Compliance)	Enhanced	Screening of business relationships to identify PF risks is now mandatory, including the identification of foreign PEP and TFS compliance
7. Customer Risk Profiling	Expanded Factors	RE’s customer Risk profiling must take into account the PF risks a customer may pose (for instance, involvement of dual-use goods traders, high-risk jurisdictions for weapons)
8. Risk-Based Due Diligence	Refined	In the case of high-risk customers, Enhanced Due Diligence (EDD) for PF risk clients is now mandatory. While for low-risk customers, Simplified Due Diligence (SDD) is allowed when no suspicion of crime
Transaction Monitoring and Reporting
9. Ongoing Monitoring	Consistent	Ongoing Monitoring Obligations remain consistent
10. Suspicious Transaction Reporting	Strict	REs are required to report to the UAE Unit (FIU) immediately. The FIU Head has the power to order a 10-day suspension
Data Maintenance and Record Keeping
11. Updating Customer Info	Time-Bound	Regulated Entities are required to update Beneficial Owner/Nominee info within 15 working days
12. Record Keeping	Consistent	Record-Keeping Obligations Remain consistent

Critical Updates to Definitions

The following definitions in the 2025 resolution have been introduced to reflect the enhanced scope of the law and improve transparency goals, such as:

Commercial Gaming
Commercial Gaming Operators
Nominee Shareholder
Nominee Director

Key Takeaways for UAE Business Owners

Regulated Entities in UAE, including DNFBPs, VASPs, FIs, and Gaming Operators, need to

Develop/Update EWRA to include PF risk oversight
Develop/Update AML/CFT/CPF Policy and Procedures
Develop/Update CDD measures to include PF risk oversight
Develop/Update Customer Risk Assessment Methodology in line with the new regulations
Compliance Officer Job Description expansion to include PF oversight
Identification of Nominee Directors and Shareholders to exclude them from UBO categorisation
Impart training on the updated AML/CFT policy and procedures

to ensure compliance with Cabinet Resolution No. (134) of 2025 and Federal Decree Law No. (10) of 2025.

How AML UAE can help you navigate this regulatory change?

AML UAE can help conduct EWRA, draft updated AML/CFT policies and procedures, impart training, update KYC/CDD forms and procedures, update customer risk assessment methodology, and more.

FAQs on the Cabinet Resolution No. 134 of 2025

The new Cabinet Resolution No. 134 of 2025 on AML Law No. 10 of 2025 provides the detailed implementing rules that financial institutions, DNFBPs, and VASPs must apply.

Starting from December 14, 2025, the Cabinet Resolution No. (134) of 2025 Concerning the Executive Regulations of Federal Decree-Law No. (10) of 2025 Concerning Combating Money Laundering, Terrorist Financing, and the Financing of the Proliferation of Weapons comes into effect.

Federal Decree-Law No. (10) of 2025 Concerning Combating Money Laundering, Terrorist Financing, and the Financing of the Proliferation of Weapons is the new law which repealed the Federal Decree Law No. (20) of 2018. The new Cabinet Resolution No. 134 of 2025 on AML Law No. 10 of 2025 provides the detailed implementing rules that financial institutions, DNFBPs, and VASPs must apply and it repeals the Cabinet Resolution No. (10) of 2019. The new Cabinet Resolution no. 134 of 2025 will come into force with effect from December 14, 2025.

Yes, the new Cabinet Resolution No. 134 of 2025 replaces the Cabinet Decision No. 10 of 2019 and its amendments.

The new Executive Regulation applies to:

The new Executive Regulations apply to:

Financial institutions
Virtual asset service providers
DNFBPs including lotteries and commercial gaming sector

The regulated entities should take the following steps to comply with the requirements of Cabinet Resolution No. 134 of 2025:

Study the Cabinet Resolution No. 134 of 2025 thoroughly
Analyse the new resolution’s impact on the EWRA and AML/CFT policy and procedures
Update EWRA
Update AML/CFT policy and procedures
Update customer risk assessment methodology
Conduct training on the updated policy and procedures
Document the change and maintain version history

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About the Author

Pathik Shah

FCA, CAMS, CISA, CS, DISA (ICAI), FAFP (ICAI)

Pathik is an ACAMS-certified AML consultant specialising in governance, risk, and compliance for regulated entities in the UAE. He brings over 28 years of experience, with 1,000+ hours of AML training and 200+ advisory engagements across DNFBPs, VASPs, and FIs. He supports businesses in aligning with AML/CFT requirements from the CBUAE, DFSA, MoET, MoJ, VARA, CMA, FSRA, and FATF. Known for translating complex regulations into audit-ready procedures, Pathik enables operational clarity and compliance readiness.

Reach Out to Pathik

AI AML Compliance

Pathik Shah

Last Updated: 11/27/2025

Protect your business with reliable and effective AML strategies with AML UAE.

AI-Driven AML Compliance: At a Glance

AI detects complex financial crimes that traditional systems miss in AML Compliance
Automates and improves customer risk scoring and transaction monitoring
Reduces false alerts in sanctions and PEP Screening
Requires proper data preparation and staff training for successful implementation

Introduction to AI AML Compliance

AI AML Compliance refers to the use of Artificial Intelligence (AI) to strengthen Anti-Money Laundering controls, enabling faster and more accurate detection of financial crime than traditional rule-based methods. Technologies such as Machine Learning, Natural Language Processing (NLP), and Graph Analytics help institutions analyse large datasets, uncover hidden risk patterns, reduce false positives, and automate routine tasks.

AI AML is emerging as a critical pillar because traditional, static, rule-based systems are struggling to keep pace with the growing scale, complexity, and speed of modern financial crime.

AI adoption has shown rapid and substantial growth across banks, fintechs, Designated Non-Financial Businesses and Professions (DNFBPs), and RegTech ecosystems in the UAE, driven by government strategy and a supportive regulatory environment.

Why AI AML Compliance Matters in Today’s Regulatory Landscape

The UAE has intensified AML enforcement with regulators like the Central Bank of the UAE (CBUAE), Financial Intelligence Unit (FIU), Dubai Financial Services Authority (DFSA), and Abu Dhabi Global Market (ADGM) imposing significant fines and penalties for compliance failures.

Traditional AML Approaches characterised by manual reviews, siloed databases, and rules-based detection generate overwhelmingly false alerts, straining compliance teams and creating critical oversight gaps in the face of sophisticated financial crime.

AI solves these critical pain points by enabling adaptive learning from historical behaviours, contextual analysis, and real-time risk detection. The technology is particularly valuable for UAE banks and DNFBPs managing large customer volumes, cross-border exposures, and high-risk sectors. With AI, organisations can meet regulatory expectations more efficiently while reducing operational burden and strengthening overall compliance outcomes.

Core Components of AI AML Compliance Frameworks

Modern AI AML frameworks combine several advanced capabilities that enhance the accuracy and speed of risk detection. AI-driven customer risk scoring continuously updates KYC profiles using behavioural trends, transactional history, and new data signals, moving firms beyond static onboarding assessments.

Machine learning forms the backbone of transaction monitoring further strengthening oversight by identifying unusual patterns, adapting to evolving typologies, and reducing noise in alert generation. NLP enhances sanctions and PEP screening by analysing unstructured data such as news reports, documents, and adverse media to flag risk indicators that traditional systems often miss.

Moreover, Predictive Analytics adds a forward-looking layer by identifying emerging suspicious behaviours and networks before they escalate into reportable activity. To operationalise these components effectively, AML UAE provides specialised AML consulting, comprehensive Risk Assessment services, and advanced Transaction Monitoring solutions.

AI AML Compliance in the UAE: Regulatory Expectations and Alignment

AI-driven AML systems in the UAE must operate within a strict regulatory environment shaped by Federal Decree by Law No. (10) of 2025, the CBUAE AML Rulebook, and Reporting Obligations to the FIU related to STRs (Suspicious Transaction Report) and SARs (Suspicious Activity Report).

These regulations do not explicitly regulate AI, yet they set the compliance standards with which any AI-enabled system must align timely reporting, strong internal controls, and comprehensive risk assessments.

The UAE’s 2024–2027 National AML/CFT Strategy prioritises cybercrime, digital payments, and trade-based money laundering, reinforced through the establishment of the National AML/CFT Committee General Secretariat in December 2024. This direction requires AI solutions to maintain transparency, explainability, auditability, and traceability, ensuring automated analysis supports accountable human oversight.

AI solutions must be mapped to the UAE’s National Risk Assessment (NRA), ensuring risk-based approaches across all sectors. AML UAE assists organisations with regulatory requirements, AML software selection, and the deployment of AI frameworks aligned with supervisory expectations.

AI AML Compliance Use Cases for UAE Banks and DNFBPs

UAE Banks and DNFBPs are leveraging AI for AML Compliance in several key use cases, primarily to automate processes, detect complex patterns, and reduce false alerts.

AI enables in the identification of high-risk customers and entities through behavioural analysis, network mapping, and continuous KYC updates. Furthermore, AI-powered sanctions and PEP screening systems significantly reduce false positives by analysing contextual relationships, and subtle language cues.

AI models can be trained to monitor for region-specific threats in real-time, such as trade-based money laundering, cross-border fund movements, and risks associated with cash-intensive businesses. This is particularly impactful for high-risk sectors like remittance companies, gold and jewellery traders, corporate service providers, VASPs, and auditors, enhancing their ability to detect sophisticated crimes.

For entities seeking to implement these solutions, AML UAE offers tailored AML advisory services, sanctions screening support, and comprehensive STR/SAR filing assistance to ensure regulator-ready compliance.

How AI Strengthens Transaction Monitoring & Suspicious Activity Detection

Traditional rules-based monitoring systems often generate high false alerts and struggle to detect sophisticated money laundering patterns.

AI transforms this process by deploying adaptive machine-learning models that analyse transaction behaviours and relationships across multiple data points and platforms. This enables the identification of subtle anomalies and complex networks that would evade conventional systems.

Crucially, AI systems continuously learn from new data, allowing them to detect emerging threats and previously unseen money laundering typologies such as new forms of crypto money laundering.

This proactive capability of AI in AML Compliance significantly enhances detection accuracy while reducing alert fatigue. For UAE entities, this translates into more effective risk mitigation and audit-ready compliance frameworks that demonstrate advanced vigilance to regulators like the CBUAE and FIU.

Implementation Roadmap for AI AML Compliance in the UAE

An AI AML implementation roadmap begins with a comprehensive data readiness assessment to ensure quality and accessibility. Organisations must then select and rigorously validate models that align with their specific risk profile. The chosen solution should integrate seamlessly with existing AML systems while maintaining a hybrid oversight framework where AI augments human intelligence rather than replacing it.

This implementation requires senior management support, compliance-team training, and ongoing quality assurance of the AI system to ensure continuous adaptation to evolving risks and regulatory expectations.

Given the regulatory complexity, AML UAE provides critical support in system evaluation, regulatory requirement mapping, and establishing ongoing model risk management protocols.

Challenges and Risk Considerations in AI AML Compliance

Integrating AI into AML compliance introduces several critical challenges that require careful management. First, AI systems are highly dependent on data quality; incomplete or inaccurate data can compromise their effectiveness and introduce the risks of both false positives and false negatives.

Second, the complexity of AI algorithms can create “black box” scenarios, making it difficult to explain decisions to regulators who demand transparency. Additionally, algorithmic bias and data privacy breaches remain key concerns. Finally, human oversight is indispensable; AI should support, not replace, expert judgment in the review process.

AML UAE helps clients navigate these complexities by maintaining the essential human oversight required for regulatory alignment.

The Future of AI AML Compliance in the UAE

AI enhances accuracy and speed in AML Compliance by automating real-time data analysis and reporting, ensuring better regulatory alignment for UAE organisations. Early adopters gain a competitive advantage in UAE’s dynamic compliance landscape by improving efficiency and adapting quickly to new rules & regulations.

AML UAE can help the Regulated Entities to become compliant and avoid regulatory penalties by analysing your current overall AML/CFT procedure through its AML/CFT Health Check related services and leverage these AI driven solutions effectively.

Most Frequently Asked Questions on AI in AML Compliance

The use of AI in performing AML compliance has brought a significant transformation through its algorithm-based system, machine learning and automation. AI has enhanced the overall efficiency of CDD, Transaction Monitoring and reduced false positives with regulatory reporting.

AI helps Regulated Entities in detecting ML/TF or PF-based risks with the utmost accuracy and speed. Through inbuilt machine learning tool, AI keeps on adapting to detect any evolving money laundering tactics and keep businesses compliant from any such new risks.

AI significantly improves Transaction Monitoring through its real-time processing feature, analysing transaction patterns and detecting any anomalies with risk scoring based of the nature of transactions.

Machine learning is a key component of AI which lets the system adapt on a continuous basis through its automated learning feature. Machine learning-based model helps to improve its transaction monitoring, enhance CDD, perform Risk Assessment efficiently and handle large volume data without system failure.

Regardless of its advantages, AI faces major challenges including algorithmic bias, integration issues with existing systems, data privacy related concerns, costing related problems for small and medium–sized businesses.

AI reduces false positives in AML detection through its real-time monitoring, pattern recognition, contextual analysis, Natural Language Processing (NLP) and machine learning–based risk-scoring system.

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AML/CFT Policy Drafting

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About the Author

Pathik Shah

FCA, CAMS, CISA, CS, DISA (ICAI), FAFP (ICAI)

Pathik is an ACAMS-certified AML consultant specialising in governance, risk, and compliance for regulated entities in the UAE. He brings over 28 years of experience, with 1,000+ hours of AML training and 200+ advisory engagements across DNFBPs, VASPs, and FIs. He supports businesses in aligning with AML/CFT requirements from the CBUAE, DFSA, MoET, MoJ, VARA, CMA, FSRA, and FATF. Known for translating complex regulations into audit-ready procedures, Pathik enables operational clarity and compliance readiness.

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Checklist for Identifying Shell Company Misuse for Ensuring Robust AML/CFT Compliance

Our Checklist for Identifying Shell Company Misuse for Ensuring Robust AML/CFT Compliance is aimed at simplifying the responsibility of FIs, DNFBPs and VASPs to identify and mitigate the ML/FT and PF risks emanating from the misuse of Shell Companies by illicit actors.

This checklist gives clear and easy methods to identify Shell Company misuse. It acts as a practical framework for Regulated Entities for effective and efficient Shell Company misuse identification.

The checklist helps in identifying Shell Company Red Flags in four catagories such as:

Entity and Structural Risk
- Complex Ownership
- Nominee Appointments
- Shared Address
- Bearer Shares
- Aged ‘shelf’ Company
Jurisdictional and Operational Risk
- High Risk Jurisdiction
- No Physical presence
- Generic Business Purpose
- Anonymity/ Face to Face
Transactional Risk
- Lack of Economic Rationale
- Inconsistent Activity
- Rapid Fund Movement
- Unrelated Third Parties
Governance and Documentation Risk
- UBO Evasion
- Incomplete Documentation
- Adverse Media
- Refusal/ Suspicion

The checklist also comes with a RACI chart, which helps with shell company risk identification and management, enabling seamless coordination and task allocation when it comes to defining roles and responsibilities across the organisation to personnel such as Frontline Staff, AML Compliance Officer, Compliance Team, and Senior Management in the context of identifying Shell companies misuse, escalating suspicious cases and reporting the same to the UAE FIU through the goAML portal.

Download this checklist to fortify the fight against misuse of legal structures such as Shell Companies.

FAQs About Placement in Money Laundering

Shell Companies are usually misused for money laundering to layer proceeds of crime and illicit funds enabling tax evasion through shielding or parking of assets in tax havens. They facilitate corruption schemes to channel bribes or hide assets belonging to PEPs. Shell Companies also get misused for Sanctions Evasion by obscuring the identification of UBOs.

Corporate structure red flags include complex ownership structures with opacity about the true beneficiary, multi-jurisdictional transaction trails lacking business rationale, suspicious Nominee Arrangements without true authority, lack of physical presence and mass registrations where multiple entities share the same business address.

Some of the gaps indicative of shell company misuse are:

Failure to identify and verify the UBO
Relying on self-declared paperwork without real-time digital verification
Failure to conduct Ongoing Monitoring.

EDD measures that need to be taken are as follows:

In-depth UBO identification and verification to confirm the Sources of Wealth and Sources of Funds.
Global Adversee Media Screening on all associated parties to a transaction
Obtaining Senior Management Approval
Risk-based Ongoing Monitoring.

Consequences that can arise from failing to detect shell company misuse, resulting in violation of AML/CFT obligations are massive administrative fines, penalties, criminal liablities, seizure of assets, license revocation and immediate loss of market reputation.

Our Latest Checklists

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Pathik Shah

Business Risk Assessment for VASPs: At a Glance

Regulator-Ready Business Risk Assessment for VASPs in UAE

Why VASPs Require a Structured BRA?

Regulatory Mandate for VASPs to Conduct BRA under AML/CFT Framework of UAE

Key Risk Factors VASPs Must Consider for Effective BRA

Customer Related Risk Factors

Geography Related Risk Factors

Transaction Related Risk Factors

Products and Services Related Risk Factors

Delivery Channel Related Risk Factors

Step-by-Step Guide for VASPs to Undertake Comprehensive Business Risk Assessment

Collecting and Mapping Business Data

Identifying and Categorizing Risks

Developing a Structured Methodology for Risk Calculation

Assessing Inherent Risks

Evaluating Mitigation Controls

Determining the Residual Risks

Conducting Gap Analysis

Documenting Findings and Risk Scoring

Preparing the Final BRA Report

Unlocking the Benefits of Business Risk Assessment for VASPs in UAE

Provides a Multidimensional and Balanced View of ML/TF/PF Risks

Facilitates the Development of an Informed and Curated ML/TF/PF Risk Appetite

Drives Efficient Allocation of Resources Towards ML/TF/PF Risk Management

Strengthens Competence in ML/TF/PF Risk Management

Ensures Alignment with National Risk Assessment and Sectoral Risk Assessment

Supports Long-Term Growth Through Risk-Informed Decisions

Repeated Mistakes VASPs Made While Performing BRA

Treating BRA as One-Time Exercise

Not Aligning BRA with Actual Business Model

Ignoring On-Chain Typologies and Virtual Assets Red Flags

Unrealistic Residual Risk Ratings

Best Practices for VASPs to Conduct Robust BRA in Line with Regulatory Expectations

Incorporating Sector-Specific Risk Indicators for VASPs

Aligning BRA with the UAE National Risk Assessment and VARA Regulations

Updating Typologies and Red Flags for Virtual Assets Regularly

Leveraging Advanced Technology for Risk Scoring and Weighing

Using Qualitative and Quantitative Scoring for Balanced Assessment

Documenting All Data Sources, Assumptions and Methodologies

Training Employees on Risk Assessment Concepts

Incorporating BRA Outcomes into the Internal Framework of VASPs

Conducting Quarterly Reviews of BRA

Turn Your Business Risk Assessment into Regulator-Ready Backbone for Your VASPs Operations

Frequently Asked Questions (FAQs)

What is Business Risk Assessment for VASPs in UAE?

How often should VASPs in the UAE update their Business Risk Assessment?

What risks should VASPs evaluate in a UAE Business Risk Assessment?

How to perform a Business Risk Assessment?

Are VASPs required to align their Business Risk Assessment with UAE National Risk Assessment and FATF Guidance?

How do I conduct a Business Risk Assessment for a VASP in UAE?

How can AI be used for Business Risk Assessment of VASPs in UAE?

What is a White-Collar Crime and Its Inter-Relationship with ML/TF

Key Highlights: White Collar Crime & ML/TF

What is a White-Collar Crime

Characteristics of a White-Collar Crime

Understanding White-Collar Crime

Why is White-Collar Crime a Matter of Global Concern

Types of White-Collar Crime

Common Methods Used in White-Collar Crime

Challenges in Investigating and Prosecuting White-Collar Crime

Machine Learning and its Application in Detecting White-Collar Crimes

What is Money Laundering and Terrorist Financing

The Inter-Relationship between White-Collar Crime and Money Laundering and Terrorist Financing

Measures to Combat White-Collar Crimes, ML, TF

Frequently Asked Questions (FAQs)

What is white collar crime?

What are the characteristics of white collar crime?

Is money laundering a white collar crime?

What is an example of a white collar crime?

How to prevent white collar crime?

Why do people commit white collar crimes?

Is identity theft a white collar crime?

Why are white collar crimes not reported?

Pathik Shah

Key Highlights of Core Changes in the New AML/CFT Law 10 of 2025

The New UAE AML/CFT Law: Federal Decree Law No. 10 of 2025 Explained

What is Federal Decree Law No. 10 of 2025?

Who are the Stakeholders Under the New UAE AML/CFT Law 2025?

Key changes introduced by Federal Decree Law 10 of 2025