Blog

How FinTech is advancing AML Controls in the UAE?

Site Logo
Jerin Mathew
14 December 2022
read
10 min

With the advent of new technology, the way we conduct financial transactions has changed dramatically. We have gone from a world where cash was king to one where digital transactions are the norm. This shift has been especially pronounced in the Middle East, where a region traditionally dominated by physical currency is now embracing digitization and taking measures to increase innovation.

Compared with Europe’s annual growth of 4-5 percent, consumer digital payment transactions in the UAE grew at a rate of over 9 percent between 2014 and 2019. In 2022, digital payment volumes from SMEs grew by 44%, according to a report by McKinsey and Co.

Along with new opportunities, the growing cashless society in the Middle East has presented the need for new onboarding and ongoing due diligence mechanisms within fintech companies, with an increasing reliance on technology to fight financial crime. As more and more businesses move online, it's no surprise that financial crime is following suit.

The move to a cashless society in the Middle East presents both challenges and opportunities for anti-financial crime professionals. Traditional methods of due diligence and onboarding are no longer sufficient in a digital world. In order to explore some of the critical things that financial institutions need to know to ensure financial crime compliance in line with growing digitalization, Tookitaki conducted a webinar on December 13 as part of our Compliant Conversations webinar series.

Moderated by Gloria Chraim, Tookitaki’s Regional Head of Sales (MEA), we were fortunate to have on board Meyya EL Amine, Chief Compliance Officer at Yap Payment Services, and Gurminder Kaur, Head of Compliance at Al Rostamani International Exchange, as our key speakers in the webinar. The speakers covered topics such as addressing the shift from traditional banking to digital banking, how new trends and technologies are shaping up the anti-financial crime efforts in the Middle East and how the regulatory landscape is changing to support the continued adoption of technology.  The speakers also shared tips for fintech companies to stay proactive and ensure compliance with holistic visibility and better insights into customer behaviour and identifying suspicious activities at large.

The Rising Popularity of Digital Banking in the UAE

In the UAE, digital banking started with individuals, however, the sector has now grown to incorporate small and medium enterprises (SMEs) and even bigger companies. In digital banking, automation, multimedia and telecom came together to give customers a seamless banking experience. Compared to traditional banking, it is faster, more convenient, customer friendly and smart.

During the pandemic, the existing digital infrastructure in the UAE came to people’s rescue and they happily embraced digital banking and digital financial services. The emergence of digital banking positively impacted the way how financial institutions do their regulatory filing that too have gone digital to a large extent. The UAE government and the regulatory authorities were well prepared for the change as they have already laid down measures supported by a great infrastructure.

The Opportunities and Challenges of a Cashless Economy

The transition to a cashless economy has the potential to bring many benefits, such as increased convenience and speed of transactions, reduced costs for businesses and financial institutions, and improved financial inclusion for underserved populations.

However, the transition to a cashless economy also presents some challenges that the UAE must carefully address in order to ensure a smooth and successful transition. Some of the key opportunities and challenges of a cashless economy in the UAE are discussed below.

Opportunities:

Increased convenience and speed of transactions: Digital payment methods are typically faster and more convenient than using cash, allowing for more efficient transactions and reducing the time and effort required for both consumers and businesses.

Reduced costs for businesses and financial institutions: A cashless economy can help reduce the costs associated with handling and transporting physical money, such as security and transportation expenses. This can be particularly beneficial for small businesses and financial institutions.

Improved financial inclusion: A cashless economy can help improve access to financial services for underserved populations, such as migrant workers or rural communities. This can help promote economic growth and reduce inequality.

Challenges:

Access to technology and financial services: In order for a cashless economy to be successful, everyone must have access to the necessary technology and financial services. This can be a challenge in the UAE, where there is a large population of migrant workers who may not have access to bank accounts or the means to use digital payment methods.

Impact on small businesses and traditional industries: The transition to a cashless economy may be difficult for small businesses and traditional industries that do not have the infrastructure or resources to support digital payment methods. These businesses may struggle to compete with larger, more technologically advanced companies if they are unable to accept digital payments.

Money Laundering/Terrorist Financing Risks: A cashless economy can make it easier for criminals to conduct financial transactions without leaving a paper trail, making it more difficult for law enforcement agencies to detect and prevent money laundering and terrorist financing.

Cybersecurity risks: As more transactions are conducted digitally, there is an increased risk of sensitive financial information being compromised. The UAE must take steps to ensure the security of digital payment systems in order to protect against fraud and hacking.

Overall, while the transition to a cashless economy in the UAE has the potential to bring many benefits, it is important for the government and other stakeholders to carefully address these challenges in order to ensure a smooth and successful transition.

The Gaps of Traditional Approaches to Fighting Financial Crime

With financial channels going online, the bad actors have more chances for their illicit activities, taking advantage of possible gaps in the digital financial system. Regulatory scrutiny over financial institutions has continued to increase and fines have been rising too. It might be because of a disconnect between what we have been practicing and what needs to be done given the changing scenarios.

We still create customer risk profiles n silos. Within compliance, customer screening, transaction monitoring and customer risk scoring processes do not speak to each other, thereby failing to provide a holistic view of the customer. This is one of the reasons why the traditional rule-based or scenario-based approaches are failing today. With a huge customer base, where the data fields are static and are not regularly updated, the actual customer risk remains not captured. Compliance analysts are often burdened with a large number of alerts, leading to the possibility of many high-risk customers remaining unaffected.

The Need for New Onboarding and Ongoing Due Diligence Mechanisms

Rule-based customer risk assessment is no longer an option. This needs to be done in a dynamic fashion and on an ongoing basis. If our data on customer is obsolete or not up to the mark, then definitely we will feel the pinch as those data is the basis of all our customer risk assessment, transaction monitoring and name screening processes. Despite the possibilities of fraud, digital know your customer or KYC has actually come as a boon as it helps in remediating your data issues to a large extent. However, digital KYC alone is not going to help us; we need to feed the digital KYC systems properly.

We need to first understand our data and segment our customers. There cannot be a one-size-fits-all approach. Customers need to be segmented based on geographies, nationalities, occupation, industries, etc., depending on the business model, and proper risk values or scores need to be determined for each customer. Based on perceived risk, the nature of questions at the time of onboarding can be simplified or made tougher.

Technologies like Optical Character Recognition (OCR) and facial recognitioncan also help to a great extent. OCR can take old data, validate it and populate it into a more readable, more accurate form. With facial recognition, we can have liveliness check, biometrics assessment and validate the customer with a central database. Ongoing due diligence is also required to feed the customer risk rating models. This will help rescore customer risk dynamically at regular intervals or if there are any changes in the original customer profile.

The Impact of New Trends and Technologies on Compliance

The UAE in particular and the GCC or MENA region in general are embracing the risk-based approach (RBA) to fighting financial crime. Today, the compliance trend is to have easily verifiable and real-time channels for customer identification documents and commercial registries. Technology is helping us a lot in compliance, and the regulatory requirements are also boosting technology to be more innovative, smarter and quicker. All of us, the customers, the businesses and regulators, are benefiting from it. Businesses are even using it for understanding the consumer better and customise their product and service offerings.

This is all coming to the surface of the final consumer and the business. Even though it is compliance related and a part of regulatory requirements, it is serving us immensely and it's growing exponentially.

The Role of Technology in Fighting Financial Crime

Technology plays a crucial role in the fight against financial crime by providing tools and systems that can help detect and prevent illegal activities.

  • Machine learning is a type of artificial intelligence that involves training algorithms on large amounts of data to enable them to make predictions or take actions based on that data. This technology can be used in the fight against financial crime by providing algorithms with data on past financial crimes, such as money laundering or fraud. The algorithms can then learn to identify patterns and anomalies in financial data that may indicate illegal activity.
  • One potential application of machine learning in the fight against financial crime is in the detection of money laundering. By analyzing transaction data, algorithms can learn to identify the characteristics of money laundering transactions, such as the use of multiple bank accounts or the movement of money through different countries. This can help law enforcement agencies and financial institutions detect potential money laundering activities and take action to prevent them.
  • Another potential application of machine learning in the fight against financial crime is in the detection of fraud. Algorithms can be trained on data from past fraud cases to learn the patterns and characteristics of fraudulent transactions.
  • Overall, machine learning has the potential to play a significant role in the fight against financial crime by providing algorithms with the ability to identify patterns and anomalies in financial data that may indicate illegal activity.
  • Another way that technology is used in the fight against financial crime is through the development of secure payment systems. These systems use encryption and other security measures to protect financial transactions and prevent fraud. This can help protect consumers and businesses from becoming victims of financial crimes.
  • Additionally, technology is also used to improve communication and collaboration among law enforcement agencies, regulatory bodies, and financial institutions. This can help these organizations share information and collaborate effectively to combat financial crime.

The Importance of Collective Intelligence

Collective intelligence can play an important role in fighting financial crime by allowing organisations and individuals to share information and resources, coordinate efforts, and work together towards a common goal. For example, financial institutions can use collective intelligence to share information about suspicious transactions and patterns of behaviour that may indicate financial crimes such as money laundering or fraud. This can help identify potential threats and enable law enforcement and other agencies to take action.

In addition, collective intelligence can be used to develop and improve algorithms and other technologies for detecting and preventing financial crimes. By pooling their expertise and resources, organisations and individuals can work together to create more effective solutions for detecting and preventing financial crime.

The Change in Regulatory Landscape to Support Tech Adoption

The regulatory acceptance to new technology has come at a very fast pace. The regulators are not just interested in that you have a system, rather they are interested in knowing why do you have that system. They're interested in understanding that whether you have the know-how of your technology, customer base and typologies, and whether that has been correctly embodied them in your customer risk assessment model.

Regulators can play an active role in bringing standardization in compliance technology adoption also. The federal registry, the IP validations for retail customer database and the public registry for the beneficial ownership are proactive measures from the regulators to ensure that the financial industry is upgrading itself with newer systems.

One example of a change in the regulatory landscape to support tech adoption is the growth of regulatory sandboxes. These are controlled environments in which companies can test new technologies and business models without being subject to all of the usual regulations. This can help companies innovate and bring new products and services to market more quickly, while also ensuring that these products and services are safe and comply with relevant regulations.

How can Fintechs Ensure Compliance?

Fintechs can ensure compliance by optimizing on their systems, by optimizing and investing in their human capital and by looking up to the best practices around the world and applying that. Even if the regulators are not asking to do it, do it now. Furthermore, we need to share knowledge across the organization. We need to make every line of defense understand what is the risk that is associated to our organization, and how we are best at mitigating it.

Improving Compliance with Tookitaki

Headquartered in Singapore, Tookitaki is a regulatory technology company offering financial crime detection and prevention to some of the world's leading banks and fintechs to help them stay vigilant and compliant.

The anti-money laundering (AML) compliance departments of today’s financial institutions are inundated with voluminous false positives and case backlogs that add to costs and prevent them from filtering out high quality alerts.

Tookitaki’s Anti-Money Laundering Suite (AMLS) helps protect your customers throughout the entire onboarding, and ongoing proceses through two modules customised to suit your needs- Intelligent Alert Detection (IAD) for detection and prevention and Smart Alert Management (SAM) for management. Designed on three C-principles – comprehensive, convenient and compliant, the AMLS uses transaction monitoring, smart screening and customer risk scoring solutions. The alerts from all solutions are unified in an interactive, modern-age Case Manager that offers speedy alert disposition and easy regulatory report filing.


Stay empowered with increased risk coverage and mitigate risks seamlessly in the ever-evolving world of regulatory compliance.
Request a demo today to learn more.

Talk to an Expert

Ready to Streamline Your Anti-Financial Crime Compliance?

Our Thought Leadership Guides

Blogs
23 Dec 2025
6 min
read

AML Failures Are Now Capital Risks: The Bendigo Case Proves It

When Australian regulators translate AML failures into capital penalties, it signals more than enforcement. It signals a fundamental shift in how financial crime risk is priced, governed, and punished.

The recent action against Bendigo and Adelaide Bank marks a decisive turning point in Australia’s regulatory posture. Weak anti-money laundering controls are no longer viewed as back-office compliance shortcomings. They are now being treated as prudential risks with direct balance-sheet consequences.

This is not just another enforcement headline. It is a clear warning to the entire financial sector.

Talk to an Expert

What happened at Bendigo Bank

Following an independent review, regulators identified significant and persistent deficiencies in Bendigo Bank’s financial crime control framework. What stood out was not only the severity of the gaps, but their duration.

Key weaknesses remained unresolved for more than six years, spanning from 2019 to 2025. These were not confined to a single branch, product, or customer segment. They were assessed as systemic, affecting governance, oversight, and the effectiveness of AML controls across the institution.

In response, regulators acted in coordination:

The framing matters. This was not positioned as punishment for an isolated incident. Regulators explicitly pointed to long-standing control failures and prolonged exposure to financial crime risk.

Why this is not just another AML penalty

This case stands apart from past enforcement actions for one critical reason.

Capital was used as the lever.

A capital add-on is fundamentally different from a fine or enforceable undertaking. By requiring additional capital to be held, APRA is signalling that deficiencies in financial crime controls materially increase an institution’s operational risk profile.

Until those risks are demonstrably addressed, they must be absorbed on the balance sheet.

The consequences are tangible:

  • Reduced capital flexibility
  • Pressure on return on equity
  • Constraints on growth and strategic initiatives
  • Prolonged supervisory scrutiny

The underlying message is unambiguous.
AML weaknesses now come with a measurable capital cost.

AML failures are now viewed as prudential risk

This case also signals a shift in how regulators define the problem.

The findings were not limited to missed alerts or procedural non-compliance. Regulators highlighted broader, structural weaknesses, including:

  • Ineffective transaction monitoring
  • Inadequate customer risk assessment and limited beneficial ownership visibility
  • Weak escalation from branch-level operations
  • Fragmented oversight between frontline teams and central compliance
  • Governance gaps that allowed weaknesses to persist undetected

These are not execution errors.
They are risk management failures.

This explains the joint involvement of APRA and AUSTRAC. Financial crime controls are now firmly embedded within expectations around enterprise risk management, institutional resilience, and safety and soundness.

Six years of exposure is a governance failure

Perhaps the most troubling aspect of the Bendigo case is duration.

When material AML weaknesses persist across multiple years, audit cycles, and regulatory engagements, the issue is no longer technology alone. It becomes a question of:

  • Risk culture
  • Accountability
  • Board oversight
  • Management prioritisation

Australian regulators have made it increasingly clear that financial crime risk cannot be fully delegated to second-line functions. Boards and senior executives are expected to understand AML risk in operational and strategic terms, not just policy language.

This reflects a broader global trend. Prolonged AML failures are now widely treated as indicators of governance weakness, not just compliance gaps.

Why joint APRA–AUSTRAC action matters

The coordinated response itself is a signal.

APRA’s mandate centres on institutional stability and resilience. AUSTRAC’s mandate focuses on financial intelligence and the disruption of serious and organised crime. When both regulators act together, it reflects a shared conclusion: financial crime control failures have crossed into systemic risk territory.

This convergence is becoming increasingly common internationally. Regulators are no longer willing to separate AML compliance from prudential supervision when weaknesses are persistent, enterprise-wide, and inadequately addressed.

For Australian institutions, this means AML maturity is now inseparable from broader risk and capital considerations.

ChatGPT Image Dec 22, 2025, 12_15_31 PM

The hidden cost of delayed remediation

The Bendigo case also exposes an uncomfortable truth.

Delayed remediation is expensive.

When control weaknesses are allowed to persist, institutions often face:

  • Large-scale, multi-year transformation programs
  • Significant technology modernisation costs
  • Extensive retraining and cultural change initiatives
  • Capital locked up until regulators are satisfied
  • Sustained supervisory and reputational pressure

What could have been incremental improvements years earlier can escalate into a full institutional overhaul when left unresolved.

In this context, capital add-ons act not just as penalties, but as forcing mechanisms to ensure sustained executive and board-level focus.

What this means for Australian banks and fintechs

This case should prompt serious reflection across the sector.

Several lessons are already clear:

  • Static, rules-based monitoring struggles to keep pace with evolving typologies
  • Siloed fraud and AML functions miss cross-channel risk patterns
  • Documented controls are insufficient if they are not effective in practice
  • Regulators are increasingly focused on outcomes, not frameworks

Importantly, this applies beyond major banks. Regional institutions, mutuals, and digitally expanding fintechs are firmly within scope. Scale is no longer a mitigating factor.

Where technology must step in before capital is at risk

Cases like Bendigo expose a widening gap between regulatory expectations and how financial crime controls are still implemented in many institutions. Legacy systems, fragmented monitoring, and periodic reviews are increasingly misaligned with the realities of modern financial crime.

At Tookitaki, financial crime prevention is approached as a continuous intelligence challenge, rather than a static compliance obligation. The emphasis is on adaptability, explainability, and real-time risk visibility, enabling institutions to surface emerging threats before they escalate into supervisory or capital issues.

By combining real-time transaction monitoring with collaborative, scenario-driven intelligence, institutions can reduce blind spots and demonstrate sustained control effectiveness. In an environment where regulators are increasingly focused on whether controls actually work, this ability is becoming central to maintaining regulatory confidence.

Many of the weaknesses highlighted in this case mirror patterns seen across recent regulatory reviews. Institutions that address them early are far better positioned to avoid capital shocks later.

From compliance posture to risk ownership

The clearest takeaway from the Bendigo case is the need for a mindset shift.

Financial crime risk can no longer be treated as a downstream compliance concern. It must be owned as a core institutional risk, alongside credit, liquidity, and operational resilience.

Institutions that proactively modernise their AML capabilities and strengthen governance will be better placed to avoid prolonged remediation, capital constraints, and reputational damage.

A turning point for trust and resilience

The action against Bendigo Bank is not about one institution. It reflects a broader regulatory recalibration.

AML failures are now capital risks.

In Australia’s evolving regulatory landscape, AML is no longer a cost of doing business.
It is a measure of institutional resilience, governance strength, and trustworthiness.

Those that adapt early will navigate this shift with confidence. Those that do not may find that the cost of getting AML wrong is far higher than expected.

AML Failures Are Now Capital Risks: The Bendigo Case Proves It
Blogs
18 Dec 2025
6 min
read

Beyond the Ratings: What FATF’s December 2025 Review Means for Malaysia’s AML Playbook

When the Financial Action Task Force publishes a Mutual Evaluation Report, it is not simply assessing the existence of laws and controls. It is examining whether those measures are producing real, demonstrable outcomes across the financial system.

The FATF Mutual Evaluation Report on Malaysia, published in December 2025, sends a clear signal in this regard. Beyond the headline ratings, the evaluation focuses on how effectively money laundering and terrorist financing risks are understood, prioritised, and mitigated in practice.

For banks, fintechs, and compliance teams operating in Malaysia, the real value of the report lies in these signals. They indicate where supervisory scrutiny is likely to intensify and where institutions are expected to demonstrate stronger alignment between risk understanding and operational controls.

Talk to an Expert

What a FATF Mutual Evaluation Is Really Testing

A FATF Mutual Evaluation assesses two interconnected dimensions.

The first is technical compliance, which looks at whether the legal and institutional framework aligns with FATF Recommendations.

The second, and increasingly decisive, dimension is effectiveness. This examines whether authorities and reporting entities are achieving intended outcomes, including timely detection, meaningful disruption of illicit financial activity, and effective use of financial intelligence.

In recent evaluation cycles, FATF has made it clear that strong frameworks alone are insufficient. Supervisors are looking for evidence that risks are properly understood and that controls are proportionate, targeted, and working as intended. Malaysia’s December 2025 evaluation reflects this emphasis throughout.

Why Malaysia’s Evaluation Carries Regional Significance

Malaysia plays a central role in Southeast Asia’s financial system. It supports significant volumes of cross-border trade, remittance flows, and correspondent banking activity, alongside a rapidly growing digital payments and fintech ecosystem.

This positioning increases exposure to complex and evolving money laundering risks. FATF’s evaluation recognises Malaysia’s progress in strengthening its framework, while also highlighting the need for continued focus on risk-based implementation as financial crime becomes more cross-border, more technology-driven, and more fragmented.

For financial institutions, this reinforces the expectation that controls must evolve alongside the risk landscape, not lag behind it.

Key Signals Emerging from the December 2025 Evaluation

Effectiveness Takes Precedence Over Formal Compliance

One of the strongest signals from the evaluation is the emphasis on demonstrable effectiveness.

Institutions are expected to show that:

  • Higher-risk activities are identified and prioritised
  • Detection mechanisms are capable of identifying complex and layered activity
  • Alerts, investigations, and reporting are aligned with real risk exposure
  • Financial intelligence leads to meaningful outcomes

Controls that exist but do not clearly contribute to these outcomes are unlikely to meet supervisory expectations.

Risk Understanding Must Drive Control Design

The evaluation reinforces that a risk-based approach must extend beyond documentation and enterprise risk assessments.

Financial institutions are expected to:

  • Clearly articulate their understanding of inherent and residual risks
  • Translate that understanding into targeted monitoring scenarios
  • Adjust controls as new products, delivery channels, and typologies emerge

Generic or static monitoring frameworks risk being viewed as insufficiently aligned with actual exposure.

Ongoing Focus on Cross-Border and Predicate Offence Risks

Consistent with Malaysia’s role as a regional financial hub, the evaluation places continued emphasis on cross-border risks.

These include exposure to:

  • Trade-based money laundering
  • Proceeds linked to organised crime and corruption
  • Cross-border remittances and correspondent banking relationships

FATF’s focus here signals that institutions must demonstrate not just transaction monitoring coverage, but the ability to interpret cross-border activity in context and identify suspicious patterns that span multiple channels.

Expanding Attention on Non-Bank and Digital Channels

While banks remain central to Malaysia’s AML framework, the evaluation highlights increasing supervisory attention on:

  • Payment institutions
  • Digital platforms
  • Designated non-financial businesses and professions

As risks shift across the financial ecosystem, regulators expect banks and fintechs to understand how their exposures interact with activity outside traditional banking channels.

Practical Implications for Malaysian Financial Institutions

For compliance teams, the December 2025 evaluation translates into several operational realities.

Supervisory Engagement Will Be More Outcome-Focused

Regulators are likely to probe:

  • Whether monitoring scenarios reflect current risk assessments
  • How detection logic has evolved over time
  • What evidence demonstrates that controls are effective

Institutions that cannot clearly explain how their controls address specific risks may face increased scrutiny.

Alert Volumes Will Be Scrutinised for Quality

High alert volumes are no longer viewed as evidence of strong controls.

Supervisors are increasingly focused on:

  • The relevance of alerts generated
  • The quality of investigations
  • The timeliness and usefulness of suspicious transaction reporting

This places pressure on institutions to improve signal quality while managing operational efficiency.

Static Monitoring Frameworks Will Be Challenged

The pace at which money laundering typologies evolve continues to accelerate.

Institutions that rely on:

  • Infrequent scenario reviews
  • Manual rule tuning
  • Disconnected monitoring systems

may struggle to demonstrate timely adaptation to emerging risks highlighted through national risk assessments or supervisory feedback.

ChatGPT Image Dec 18, 2025, 11_10_16 AM

Common Execution Gaps Highlighted Through FATF Evaluations

Across jurisdictions, FATF evaluations frequently expose similar challenges.

Fragmented Monitoring Approaches

Siloed AML and fraud systems limit the ability to see end-to-end money flows and behavioural patterns.

Slow Adaptation to Emerging Typologies

Scenario libraries can lag behind real-world risk evolution, particularly without access to shared intelligence.

Operational Strain from False Positives

Excessive alert volumes reduce investigator effectiveness and dilute regulatory reporting quality.

Explainability and Governance Limitations

Institutions must be able to explain why controls behave as they do. Opaque or poorly governed models raise supervisory concerns.

What FATF Is Signalling About the Next Phase

While not always stated explicitly, the evaluation reflects expectations that institutions will continue to mature their AML capabilities.

Supervisors are looking for evidence of:

  • Continuous improvement
  • Learning over time
  • Strong governance over model changes
  • Clear auditability and explainability

This represents a shift from compliance as a static obligation to compliance as an evolving capability.

Translating Supervisory Expectations into Practice

To meet these expectations, many institutions are adopting modern AML approaches built around scenario-led detection, continuous refinement, and strong governance.

Such approaches enable compliance teams to:

  • Respond more quickly to emerging risks
  • Improve detection quality while managing noise
  • Maintain transparency and regulatory confidence

Platforms that combine shared intelligence, explainable analytics, and unified monitoring across AML and fraud domains align closely with the direction signalled by recent FATF evaluations. Solutions such as Tookitaki’s FinCense illustrate how technology can support these outcomes while maintaining auditability and supervisory trust.

From Compliance to Confidence

The FATF Mutual Evaluation of Malaysia should be viewed as more than a formal assessment. It is a forward-looking signal.

Institutions that treat it purely as a compliance exercise may meet minimum standards. Those that use it as a reference point for strengthening risk understanding and control effectiveness are better positioned for sustained supervisory confidence.

Final Reflection

FATF evaluations increasingly focus on whether systems work in practice, not just whether they exist.

For Malaysian banks and fintechs, the December 2025 review reinforces a clear message. The institutions best prepared for the next supervisory cycle will be those that can demonstrate strong risk understanding, effective controls, and the ability to adapt as threats evolve.

Beyond the Ratings: What FATF’s December 2025 Review Means for Malaysia’s AML Playbook
Blogs
16 Dec 2025
6 min
read

RBNZ vs ASB: Why New Zealand’s AML Expectations Just Changed

In December 2025, the Reserve Bank of New Zealand sent one of its clearest signals yet to the financial sector. By filing civil proceedings against ASB Bank for breaches of the AML/CFT Act, the regulator made it clear that compliance in name alone is no longer sufficient. What matters now is whether anti-money laundering controls actually work in practice.

This was not a case about proven money laundering or terrorism financing. It was about operational effectiveness, timeliness, and accountability. For banks and financial institutions across New Zealand, that distinction is significant.

The action marks a turning point in how AML compliance will be assessed going forward. It reflects a shift from reviewing policies and frameworks to testing whether institutions can demonstrate real-world outcomes under scrutiny.

Talk to an Expert

What Happened and Why It Matters

The Reserve Bank’s filing outlines multiple failures by ASB to meet core obligations under the AML/CFT Act. These included shortcomings in maintaining an effective AML programme, carrying out ongoing customer due diligence, applying enhanced due diligence when required, and reporting suspicious activity within mandated timeframes.

ASB admitted liability across all causes of action and cooperated with the regulator. The Reserve Bank also clarified that it was not alleging ASB knowingly facilitated money laundering or terrorism financing.

This clarification is important. The case is not about intent or criminal involvement. It is about whether an institution’s AML framework operated effectively and consistently over time.

For the wider market, this is a regulatory signal rather than an isolated enforcement action.

What the Reserve Bank Is Really Signalling

Read carefully, the Reserve Bank’s message goes beyond one bank. It reflects a broader recalibration of supervisory expectations.

First, AML effectiveness is now central. Regulators are no longer satisfied with documented programmes alone. Institutions must show that controls detect risk, escalate appropriately, and lead to timely action.

Second, speed matters. Delays in suspicious transaction reporting, extended remediation timelines, and slow responses to emerging risks are viewed as material failures, not operational inconveniences.

Third, governance and accountability are under the spotlight. AML effectiveness is not just a technology issue. It reflects resourcing decisions, prioritisation, escalation pathways, and senior oversight.

This mirrors developments in other comparable jurisdictions, including Australia, Singapore, and the United Kingdom, where regulators are increasingly outcome-focused.

Why This Is a Critical Moment for New Zealand’s Financial System

New Zealand’s AML regime has matured significantly over the past decade. Financial institutions have invested heavily in frameworks, teams, and tools. Yet the RBNZ action highlights a persistent gap between programme design and day-to-day execution.

This matters for several reasons.

Public confidence in the financial system depends not only on preventing crime, but on the belief that institutions can detect and respond to risk quickly and effectively.

From an international perspective, New Zealand’s reputation as a well-regulated financial centre supports correspondent banking relationships and cross-border trust. Supervisory actions like this are closely observed beyond domestic borders.

For compliance teams, the message is clear. Supervisory reviews will increasingly test how AML frameworks perform under real-world conditions, not how well they are documented.

Common AML Gaps Brought to Light

While the specifics of each institution differ, the issues raised by the Reserve Bank are widely recognised across the industry.

One common challenge is fragmented visibility. Customer risk data, transaction monitoring outputs, and historical alerts often sit in separate systems. This makes it difficult to build a unified view of risk or spot patterns over time.

Another challenge is static monitoring logic. Rule-based thresholds that are rarely reviewed struggle to keep pace with evolving typologies, particularly in an environment shaped by real-time payments and digital channels.

Ongoing customer due diligence also remains difficult to operationalise at scale. While onboarding checks are often robust, keeping customer risk profiles current requires continuous recalibration based on behaviour, exposure, and external intelligence.

Finally, reporting delays are frequently driven by workflow inefficiencies. Manual reviews, alert backlogs, and inconsistent escalation criteria can all slow the path from detection to reporting.

Individually, these issues may appear manageable. Together, they undermine AML effectiveness.

Why Traditional AML Models Are Under Strain

Many of these gaps stem from legacy AML operating models.

Traditional architectures rely heavily on static rules, manual investigations, and institution-specific intelligence. This approach struggles in an environment where financial crime is increasingly fast-moving, cross-border, and digitally enabled.

Compliance teams face persistent pressure. Alert volumes remain high, false positives consume investigator capacity, and regulatory expectations continue to rise. When resources are stretched, timeliness becomes harder to maintain.

Explainability is another challenge. Regulators expect institutions to articulate why decisions were made, not just that actions occurred. Systems that operate as black boxes make this difficult.

The result is a growing disconnect between regulatory expectations and operational reality.

The Shift Toward Effectiveness-Led AML

The RBNZ action reflects a broader move toward effectiveness-led AML supervision.

Under this approach, success is measured by outcomes rather than intent. Regulators are asking:

  • Are risks identified early or only after escalation?
  • Are enhanced due diligence triggers applied consistently?
  • Are suspicious activities reported promptly and with sufficient context?
  • Can institutions clearly explain and evidence their decisions?

Answering these questions requires more than incremental improvements. It requires a rethinking of how AML intelligence is sourced, applied, and validated.

ChatGPT Image Dec 16, 2025, 12_04_39 PM

Rethinking AML for the New Zealand Context

Modernising AML does not mean abandoning regulatory principles. It means strengthening how those principles are executed.

One important shift is toward scenario-driven detection. Instead of relying solely on generic thresholds, institutions increasingly use typologies grounded in real-world crime patterns. This aligns monitoring logic more closely with how financial crime actually occurs.

Another shift is toward continuous risk recalibration. Customer risk is not static. Systems that update risk profiles dynamically support more effective ongoing due diligence and reduce downstream escalation issues.

Collaboration also plays a growing role. Financial crime does not respect institutional boundaries. Access to shared intelligence helps institutions stay ahead of emerging threats rather than reacting in isolation.

Finally, transparency matters. Regulators expect clear, auditable logic that explains how risks are assessed and decisions are made.

Where Technology Can Support Better Outcomes

Technology alone does not solve AML challenges, but the right architecture can materially improve effectiveness.

Modern AML platforms increasingly support end-to-end workflows, covering onboarding, screening, transaction monitoring, risk scoring, investigation, and reporting within a connected environment.

Advanced analytics and machine learning can help reduce false positives while improving detection quality, when applied carefully and transparently.

Equally important is the ability to incorporate new intelligence quickly. Systems that can ingest updated typologies without lengthy redevelopment cycles are better suited to evolving risk landscapes.

How Tookitaki Supports This Evolution

Within this shifting environment, Tookitaki supports institutions as they move toward more effective AML outcomes.

FinCense, Tookitaki’s end-to-end compliance platform, is designed to support the full AML lifecycle, from real-time onboarding and screening to transaction monitoring, dynamic risk scoring, investigation, and reporting.

A distinguishing element is its connection to the AFC Ecosystem. This is a collaborative intelligence network where compliance professionals contribute, validate, and refine real-world scenarios based on emerging risks. These scenarios are continuously updated, allowing institutions to benefit from collective insights rather than relying solely on internal discovery.

For New Zealand institutions, this approach supports regulatory priorities around effectiveness, timeliness, and explainability. It strengthens detection quality while maintaining transparency and governance.

Importantly, technology is positioned as an enabler of better outcomes, not a substitute for oversight or accountability.

What Compliance Leaders in New Zealand Should Be Asking Now

In light of the RBNZ action, there are several questions worth asking internally.

  • Can we evidence the effectiveness of our AML controls, not just their existence?
  • How quickly do alerts move from detection to suspicious transaction reporting?
  • Are enhanced due diligence triggers dynamic or static?
  • Do we regularly test monitoring logic against emerging typologies?
  • Could we confidently explain our AML decisions to the regulator tomorrow?

These questions are not about fault-finding. They are about readiness.

Looking Ahead

The Reserve Bank’s action against ASB marks a clear shift in New Zealand’s AML supervisory landscape. Effectiveness, timeliness, and accountability are now firmly in focus.

For financial institutions, this is both a challenge and an opportunity. Those that proactively strengthen their AML operating models will be better positioned to meet regulatory expectations and build long-term trust.

Ultimately, the lesson extends beyond one case. AML compliance in New Zealand is entering a new phase, one where outcomes matter as much as intent. Institutions that adapt early will define the next standard for financial crime prevention in the market.

RBNZ vs ASB: Why New Zealand’s AML Expectations Just Changed