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How Can Financial Institutions Fight Money Laundering in Malaysia?

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Jerin Mathew
12 September 2022
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7 min

Malaysia’s top court recently ordered ex-prime minister Najib Razak to begin a 12-year jail sentence after maintaining a guilty verdict on charges related to the scandal at state fund 1Malaysia Development Berhad (1MDB). His wife also received a 10-year prison sentence for corruption charges. 

The notorious multi-billion dollar 1MDB scam has an important role in Malaysia’s current anti-money laundering (AML) scenario. Since the scandal came to light, Malaysia has been keen to formulate new laws and revamp existing laws in its fight against financial crimes. The country has upgraded its AML norms to match international standards while addressing the growing compliance issues related to its fast-growing digitalisation in financial services. 

In this article, we will look into Malaysia's current financial crime landscape, especially after the growth of fintech in the country. We will also explore the gaps in current approaches to fight financial crime and look at ways in which financial institutions can address AML compliance in an effective manner. 

Growing Digitalisation and Financial Crime Threats

Having a large digitally savvy population, Malaysia has seen rapid growth in technology adoption within its financial sector. Digital banking is a high-growth sector in the country due to its significant banking penetration at 92%. By 2026, about 40% of the country’s population would have a digital bank account, according to research.  

While cryptocurrencies are not legal tender in the country, cryptocurrency exchanges are legal with registration requirements under the Malaysian Securities Commission. Among other criteria, crypto exchanges need to demonstrate their ability to manage the AML risks associated with their business. There have also been proposals for reforms in crypto regulation in the country to help “expand the participation of young people in cryptocurrencies”. 

The country has been vulnerable to criminal activities such as corruption, terrorist financing, fraud, drug trafficking, smuggling, wildlife trade and tax crimes. The growth of digital banking and payment methods would mean that criminals now have more or “better” avenues to launder their ill-gotten money. 

While the country has up-to-date AML legislations, regulated financial institutions should ensure their implementation with AML compliance programmes involving adequate human and efficient technological resources. 

 

Fighting money laundering in Malaysia-1

 

AML Requirements for Financial Institutions

In its 2019 AML policy document for financial institutions, the Bank Negara Malaysia noted that the globalisation of the financial services industry and advancement in technology, including the emergence of new players and innovative products, pose challenges to regulators and law enforcement agencies alike in curbing criminal activities. 

In view of the evolving risks and the potential development opportunities brought about by the era of digitalisation, the central bank has proposed some enhancements to the existing AML/CFT reporting obligations. 

In line with the international standards established by the Financial Action Task Force (FATF), the reporting obligations are risk-informed. They would also ensure that areas of higher risk are subject to enhanced controls by regulated financial institutions, including banks, money service businesses and providers of designated payment instruments. The major AML/CFT requirements in the policy document are given below: 

  • Application of Risk-Based Approach 

Reporting institutions must have risk management functions proportionate to the nature, scale and complexity of their activities and risk profile. They should also take appropriate steps to identify, assess and understand their money laundering/terrorist financing (ML/TF) risks at the institutional level in relation to their customers, countries or geographical areas and products, services, transactions or delivery channels. The institutions should also have policies, procedures and controls to manage and

mitigate ML/TF risks. Furthermore, reporting institutions must conduct risk profiling on their customers and assign ML/TF risk rating that is commensurate with their risk profile.

  • AML/CFT Compliance Programme

Reporting institutions are required to implement AML/CFT programmes, which correspond to their ML/TF risks and business size. The board of directors of the companies are responsible for maintaining accountability and oversight in establishing AML/CFT policies, while the senior management should implement them by allocating resources and appointing a Compliance Officer. The Compliance Officer acts as the reference point for AML/CFTmatters within the reporting institution. The board is also required to ensure regular independent audits of the internal AML/CFT measures. 

  • Customer Due Diligence (CDD)

Reporting institutions should conduct customer due diligence (CDD) on customers and persons conducting the transactions when:

  • establishing business relations;
  • providing money-changing and wholesale currency business;
  • providing wire transfer services;
  • providing electronic money (e-money);
  • carrying out occasional transactions involving an amount equivalent to RM25,000 and above, including in situations where the transaction is carried out in a single transaction or through several transactions in a day that appear to be linked;
  • carrying out cash transactions involving an amount equivalent to RM25,000 and above;
  • it has any suspicion of ML/TF, regardless of amount; or
  • it has any doubt about the veracity or adequacy of previously obtained information

The central bank prescribes certain standard CDD measures such as:

 

  • Identifying an individual customer and beneficial owner
  • Understanding the nature of business of corporate customers, their ownership and control structure and maintaining the information relating to the identity of their directors and shareholders through a public register and other reliable sources
  • Understanding the nature of the customer’s business and its ownership and control structure for customers that are legal arrangements
  • Getting relevant information and documents from customers that are clubs, societies and charities, counterparties and beneficiary accounts
  • Conducting simplified CDD where ML/TF risks are assessed to be low
  • Performing enhanced CDD where the ML/TF risks are assessed as higher risk
  • Conducting ongoing due diligence on the business relationship with its customers to understand deviations in risk level and keep information up-to-date

  • Politically Exposed Persons

Take reasonable measures to determine the extent to which individuals are directly engaged or involved in the activity of the politically exposed person (PEP). Financial institutions should put in place a risk management system to determine whether a customer or a beneficial owner is a foreign PEP or domestic PEP or a person carrying out a prominent function at an international organisation. 

  • Cash Threshold Report

Submit cash threshold reports to the Financial Intelligence and Enforcement Department, Bank Negara Malaysia, for transactions (single or multiple) within the same account in a day for amounts of RM25,000 and above. They also must establish a reporting system for the submission of cash threshold reports to the Financial Intelligence and Enforcement Department. 

  • Suspicious Transaction Report

Financial institutions must promptly submit a suspicious transaction report, with all required and relevant information, to the Financial Intelligence and Enforcement Department whenever they suspect or has reasonable grounds to suspect that a transaction appears unusual, has no clear economic purpose, appears illegal, involves proceeds from an unlawful activity or indicates that the customer is involved in ML/TF. They also need to establish a system for the submission of suspicious transaction reports.

  • Record Keeping

Reporting institutions must keep the relevant records, including any accounts, files, business correspondence and documents relating to transactions, in particular, those obtained during the CDD process. This should include documents used to verify the identity of customers and beneficial owners and the results of any analysis undertaken. The records maintained must remain up-to-date and relevant.

  • Management Information System

Have an adequate manual/electronic management information system (MIS) to complement its CDD process. The MIS should provide the reporting institution with timely information on a regular basis to enable the reporting institution to detect irregularities and/or any suspicious activity. 

  • Targeted Financial Sanctions 

Stay up-to-date with the relevant United Nations Security Council Resolutions (UNSCR) relating to combating the financing of terrorism and proliferation financing and maintain a sanctions database on the UNSCR list and Domestic List issued by the Minister of Home Affairs.

They should also conduct sanctions screening on existing, potential or new customers against the Domestic List and UNSCR List. Where applicable, screening shall be conducted as part of the CDD process and ongoing due diligence. The institutions should submit a suspicious transaction report upon determination of any positive match with the lists for conducted as well as attempted transactions.

Use Technology to Fight Financial Crime”: How Can Tookitaki Help? 

Headquartered in Singapore, Tookitaki is an award-winning Regtech company. Our AML solution helps financial institutions strengthen their risk coverage and mitigate risks seamlessly in the ever-evolving world of regulatory compliance. 

Our innovation, called federated learning, is based on a concept called the “Hub and Spoke.” This helps break away from silos while providing our customers with better access to an extensive network for enhanced security and protection. 

The Hub is our "AFC Ecosystem” that combines Tookitaki's network of experts and our library of typologies. 

The AML  ecosystem is a community-driven, first-of-its-kind initiative and is based on a deep democratization approach that allows everyone in the anti-money laundering field to collaborate and combine expertise to combat financial crime in a single network ecosystem. 

The Spoke is Tookitaki’s Anti-Money Laundering Suite or AMLS. The AMLS is an end-to-end operating platform optimised by AI that detects and prevents suspicious money trails while managing alerts.

The AMLS comprises multiple modules, such as Transaction Monitoring, Smart Screening, and Customer Risk Scoring solutions seamlessly integrated to provide a one-stop compliance solution. Tookitaki’s Case Manager solution collates the alerts from all solutions in an interactive manner, offering companies speedy alert disposition and easy regulatory report filing.

Talk to our expert to learn more about our AML solution and how Tookitaki can be your partner of choice for enhancing risk-based AML compliance programmes as required by Malaysian regulators. 

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30 Jul 2025
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Cracking Down Under: How Australia Is Fighting Back Against Fraud

Fraud in Australia has moved beyond stolen credit cards, today’s threats are smarter, faster, and often one step ahead.

Australia is facing a new wave of financial fraud—complex scams, cyber-enabled deception, and social engineering techniques that prey on trust. From sophisticated investment frauds to deepfake impersonations, criminals are evolving rapidly. And so must our fraud prevention strategies.

This blog explores how fraud is impacting Australia, what new methods criminals are using, and how financial institutions, businesses, and individuals can stay ahead of the game. Whether you're in compliance, fintech, banking, or just a concerned citizen, fraud prevention is everyone’s business.

The Fraud Landscape in Australia: A Wake-Up Call

In 2024 alone, Australians lost over AUD 2.7 billion to scams, according to data from the Australian Competition and Consumer Commission (ACCC). The Scamwatch program reported an alarming rise in phishing, investment scams, identity theft, and fake billing.

A few alarming trends:

  • Investment scams accounted for over AUD 1.3 billion in losses.
  • Business email compromise (BEC) and invoice fraud targeted SMEs.
  • Romance and remote access scams exploited personal vulnerability.
  • Deepfake scams and AI-generated impersonations are on the rise, particularly targeting executives and finance teams.

The fraud threat has gone digital, cross-border, and real-time. Traditional controls alone are no longer enough.

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Why Fraud Prevention Is a National Priority

Fraud isn't just a financial issue—it’s a matter of public trust. When scams go undetected, victims don’t just lose money—they lose faith in financial institutions, government systems, and digital innovation.

Here’s why fraud prevention is now top of mind in Australia:

  • Real-time payments mean real-time risks: With the rise of the New Payments Platform (NPP), funds can move across banks instantly. This has increased the urgency to detect and prevent fraud in milliseconds—not days.
  • Rise in money mule networks: Criminal groups are exploiting students, gig workers, and the elderly to launder stolen funds.
  • Increased regulatory pressure: AUSTRAC and ASIC are putting more pressure on institutions to identify and report suspicious activities more proactively.

Common Fraud Techniques Seen in Australia

Understanding how fraud works is the first step to preventing it. Here are some of the most commonly observed fraud techniques:

a) Business Email Compromise (BEC)

Fraudsters impersonate vendors, CEOs, or finance officers to divert funds through fake invoices or urgent payment requests. This is especially dangerous for SMEs.

b) Investment Scams

Fake trading platforms, crypto Ponzi schemes, and fraudulent real estate investments have tricked thousands. Often, these scams use fake celebrity endorsements or “guaranteed returns” to lure victims.

c) Romance and Sextortion Scams

These scams manipulate victims emotionally, often over weeks or months, before asking for money. Some even involve blackmail using fake or stolen intimate content.

d) Deepfake Impersonation

Using AI-generated voice or video, scammers are impersonating real people to initiate fund transfers or manipulate staff into giving away sensitive information.

e) Synthetic Identity Fraud

Criminals use a blend of real and fake information to create a new, ‘clean’ identity that can bypass onboarding checks at banks and fintechs.

20250730_2107_Cybersecurity Precaution Scene_remix_01k1dzk8hwfd4t9rd8mkhzgr1w

Regulatory Push for Smarter Controls

Regulators in Australia are stepping up their efforts:

  • AUSTRAC has introduced updated guidance for transaction monitoring and suspicious matter reporting, pushing institutions to adopt more adaptive, risk-based approaches.
  • ASIC is cracking down on investment scams and calling for platforms to implement stricter identity and payment verification systems.
  • The ACCC’s National Anti-Scam Centre launched a multi-agency initiative to disrupt scam operations through intelligence sharing and faster response times.

But even regulators acknowledge: compliance alone won't stop fraud. Prevention needs smarter tools, better collaboration, and real-time intelligence.

A New Approach: Proactive, AI-Powered Fraud Prevention

The most forward-thinking banks and fintechs in Australia are moving from reactive to proactive fraud prevention. Here's what the shift looks like:

✅ Real-Time Transaction Monitoring

Instead of relying on static rules, modern systems use machine learning to flag suspicious behaviour—like unusual payment patterns, high-risk geographies, or rapid account-to-account transfers.

✅ Behavioural Analytics

Understanding what ‘normal’ looks like for each user helps detect anomalies fast—like a customer suddenly logging in from a new country or making a large transfer outside business hours.

✅ AI Copilots for Investigators

Tools like AI-powered investigation assistants can help analysts triage alerts faster, recommend next steps, and even generate narrative summaries for suspicious activity reports.

✅ Community Intelligence

Fraudsters often reuse tactics across institutions. Platforms like Tookitaki’s AFC Ecosystem allow banks to share anonymised fraud scenarios and red flags—so everyone can learn and defend together.

✅ Federated Learning Models

These models allow banks to collaborate on fraud detection algorithms without sharing customer data—bringing the power of collective intelligence without compromising privacy.

Fraud Prevention Best Practices for Australian Institutions

Whether you're a Tier-1 bank or a growing fintech, these best practices are critical:

  1. Prioritise real-time fraud detection tools that work across payment channels and digital platforms.
  2. Train your teams—fraudsters are exploiting human error more than technical flaws.
  3. Invest in explainable AI to build trust with regulators and internal stakeholders.
  4. Use layered defences: Combine transaction monitoring, device fingerprinting, behavioural analytics, and biometric verification.
  5. Collaborate across the ecosystem—join industry platforms, share intel, and learn from others.

How Tookitaki Supports Fraud Prevention in Australia

Tookitaki is helping Australian institutions stay ahead of fraud by combining advanced AI with collective intelligence. Our FinCense platform offers:

  • End-to-end fraud and AML detection across transactions, customers, and devices.
  • Federated learning that enables risk detection with insights contributed by a global network of financial crime experts.
  • Smart investigation tools to reduce alert fatigue and speed up response times.

The Role of Public Awareness in Prevention

It’s not just institutions—customers play a key role too. Public campaigns like Scamwatch, educational content from banks, and media coverage of fraud trends all contribute to prevention.

Simple actions like verifying sender details, avoiding suspicious links, and reporting scam attempts can go a long way. In the fight against fraud, awareness is the first line of defence.

Conclusion: Staying Ahead in a Smarter Fraud Era

Fraud prevention in Australia can no longer be treated as an afterthought. The threats are too advanced, too fast, and too costly.

With the right mix of technology, collaboration, and education, Australia can stay ahead of financial criminals—and turn the tide in favour of consumers, businesses, and institutions alike.

Whether it’s adopting AI tools, sharing threat insights, or empowering individuals, fraud prevention is no longer optional. It’s the new frontline of trust.

Cracking Down Under: How Australia Is Fighting Back Against Fraud
Blogs
29 Jul 2025
6 min
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The CEO Wasn’t Real: Inside Singapore’s $499K Deepfake Video Scam

In March 2025, a finance director at a multinational firm in Singapore authorised a US$499,000 payment during what appeared to be a Zoom call with the company’s senior leadership. There was just one problem: none of the people on the call were real.

What seemed like a routine virtual meeting turned out to be a highly orchestrated deepfake scam, where cybercriminals used artificial intelligence to impersonate the company’s Chief Financial Officer and other top executives. The finance director, believing the request was genuine, wired nearly half a million dollars to a fraudulent account.

The incident has sent shockwaves across the financial and corporate world, underscoring the fast-evolving threat of deepfake technology.

Background of the Scam

According to Singapore police reports, the finance executive received a message from someone posing as the company’s UK-based CFO. The message requested an urgent fund transfer to facilitate a confidential acquisition. To build credibility, the fraudster set up a Zoom call — featuring multiple senior executives, all appearing and sounding authentic.

But the entire video call was fabricated using deepfake technology.

These weren’t just stolen profile photos; they were AI-generated likenesses with synced facial movements and realistic voices, mimicking actual executives. The finance director, seeing what seemed like familiar faces and hearing familiar voices, followed through with the transfer.

Only later did the company realise that the actual executives had never been on the call.

What the Case Revealed

This wasn’t just another phishing email or spoofed WhatsApp message. This was next-level digital deception. Here’s what made it chillingly effective:

  • Multi-party deepfake execution – The fraud involved several synthetic identities, all rendered convincingly in real-time to simulate a legitimate boardroom environment.
  • High-level impersonation – Senior figures like the CFO were cloned with accurate visual and vocal characteristics, heightening the illusion of authority and urgency.
  • Deeply contextual manipulation – The scam leveraged business context (e.g. M&A activity, board-level communications) that suggested insider knowledge.

Singapore’s police reported this as one of the most convincing cases of AI-powered impersonation seen to date — and issued a national warning to corporations and finance professionals.

Impact on Financial Institutions and Corporates

While the fraud targeted one company, its implications ripple across the entire financial system:

Deepfake Fatigue and Trust Erosion

When even video calls are no longer trustworthy, confidence in digital communication takes a hit. This undermines both internal decision-making and external client relationships.

CFOs and Finance Teams in the Crosshairs

Finance and treasury teams are prime targets for scams like this. These professionals are expected to act fast, handle large sums, and follow instructions from the top — making them vulnerable to high-pressure frauds.

Breakdown of Traditional Verification

Emails, video calls, and even voice confirmations can be falsified. Without secondary verification protocols, companies remain dangerously exposed.

ChatGPT Image Jul 29, 2025, 02_34_13 PM

Lessons Learned from the Scam

The Singapore deepfake case isn’t an outlier — it’s a glimpse into the future of financial crime. Key takeaways:

  1. Always Verify High-Value Requests
    Especially those involving new accounts or cross-border transfers. A secondary channel of verification — via phone or an encrypted app — is now a must.
  2. Educate Senior Leadership
    Executives need to be aware that their digital identities can be hijacked. Regular briefings on impersonation risks are essential.
  3. Adopt Real-Time Behavioural Monitoring
    Advanced analytics can flag abnormal transaction patterns — even when the request appears “approved” by an authority figure.
  4. Invest in Deepfake Detection Tools
    There are now software solutions that scan video content for artefacts, inconsistencies, or signs of AI manipulation.
  5. Strengthen Internal Protocols
    Critical payment workflows should always require multi-party authorisation, escalation logic, and documented rationale.

The Role of Technology in Prevention

Scams like this are designed to outsmart conventional defences. A new kind of defence is required — one that adapts in real-time and learns from emerging threats.

This is where Tookitaki’s compliance platform, FinCense, plays a vital role.

Powered by the AFC Ecosystem and Agentic AI:

  • Typology-Driven Detection: FinCense continuously updates its detection logic based on real-world scam scenarios contributed by financial crime experts worldwide.
  • AI-Powered Simulation: Institutions can simulate deepfake-driven fraud scenarios to test and refine their internal controls.
  • Federated Learning: Risk signals and red flags from across institutions are shared securely without compromising sensitive data.
  • Smart Case Disposition: Agentic AI reviews and narrates alerts, allowing compliance officers to respond faster and with greater clarity — even in complex scams like this.
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Moving Forward: Facing the Synthetic Threat Landscape

Deepfake technology has moved from the realm of novelty to real-world risk. The Singapore incident is a wake-up call for companies across ASEAN and beyond.

When identity can be faked in real-time, and fraudsters learn faster than regulators, the only defence is to stay ahead — with intelligence, collaboration, and next-generation tech.

Because next time, the CEO might not be real, but the money lost will be.

The CEO Wasn’t Real: Inside Singapore’s $499K Deepfake Video Scam
Blogs
28 Jul 2025
6 min
read

The Rising Cost of AML Compliance in Australia: Can Smarter Tools Reduce the Burden?

Anti-Money Laundering (AML) compliance in Australia has never been more critical — or more expensive.

As regulatory scrutiny increases and financial crime becomes more complex, financial institutions are under pressure to spend more time, money, and resources just to keep up.

But is this sustainable? And is there a smarter way to stay compliant without letting costs spiral out of control?

Let’s take a closer look at why compliance costs are rising, what’s at stake for banks and fintechs in Australia, and how modern AML solutions, powered by AI and collaboration, are helping institutions future-proof their compliance programmes.

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Why Are AML Compliance Costs Rising in Australia?

Over the past few years, Australia has seen a surge in regulatory activity around financial crime. From high-profile casino investigations to AUSTRAC’s growing enforcement role, the message is clear: AML compliance is non-negotiable.

Here’s what’s driving the rising cost:

1. Tighter Regulatory Expectations

AUSTRAC expects more than just basic transaction monitoring. Institutions must demonstrate proactive risk assessments, tailored customer due diligence (CDD), and robust ongoing monitoring — all supported by detailed documentation and audit trails.

2. More Complex Financial Crime

Criminals are getting smarter. Whether it’s mule networks exploiting instant payments or layering funds across crypto and traditional channels, detecting illicit activity now requires more sophisticated tools and deeper data insights.

3. Manual Workflows and Legacy Systems

Many institutions still rely on outdated systems and siloed processes, which increase the burden on compliance teams and inflate operational costs. Manually reviewing false positives or investigating fragmented alerts takes time — and people.

4. Reputational Risk and Fines

In recent years, enforcement actions have brought AML failures into public view — from Crown and Star casinos to financial institutions under investigation. The reputational damage, legal risk, and remediation costs far outweigh the cost of modernising compliance infrastructure.

Australia skyline-1

What Do Rising AML Costs Look Like on the Ground?

According to industry estimates, large Australian banks are spending hundreds of millions annually on compliance-related activities. Mid-sized banks and fintechs may not face the same scale, but they often carry a disproportionate burden due to leaner teams and tighter budgets.

Here’s where the costs add up:

  • Hiring and retaining skilled AML staff
  • Managing alert fatigue from legacy monitoring systems
  • Frequent audits and remediation exercises
  • Technology upgrades and consultant fees
  • Delays in customer onboarding due to manual CDD reviews

These costs aren’t just financial — they also affect speed, agility, and customer experience.

Can Smarter Tools Reduce the Burden?

The short answer: yes — but only if they’re the right tools.

Smarter AML compliance doesn't mean more tools. It means better tools that are purpose-built for modern financial crime risks. Here's what that looks like:

What Smarter AML Compliance Looks Like

1. Behavioural Transaction Monitoring

Modern systems go beyond rule-based monitoring to detect suspicious patterns based on behaviour. This reduces false positives and increases detection accuracy — freeing up analysts to focus on what matters.

2. Federated Learning and Shared Intelligence

Collaborative platforms enable institutions to share insights and typologies without sharing sensitive data. This reduces blind spots and helps detect new risks earlier — especially in cross-border and real-time payments.

3. Automation and AI Assistants

AI-powered investigation assistants can summarise alerts, prioritise high-risk cases, and auto-generate audit trails — helping compliance teams do more with less.

4. Dynamic Risk Scoring

Instead of static scoring, smarter systems update customer risk profiles in real-time based on behaviour, location, transaction type, and other dynamic inputs.

5. Plug-and-Play Integration

Modern AML solutions should integrate easily with core banking systems, customer onboarding tools, and case management platforms — reducing overhead and ensuring a seamless compliance workflow.

How Tookitaki’s FinCense Is Helping Australian Institutions Stay Ahead

At Tookitaki, we’ve designed FinCense to deliver smarter compliance — not just cheaper, but better.

Built on a modular, federated AI framework, FinCense empowers banks, fintechs, and payment platforms to stay ahead of financial crime risks without overburdening teams or budgets.

With FinCense, institutions get:

  • Up to 72% reduction in false positives
  • 3.5x faster case resolutions
  • Real-time, scenario-based monitoring tailored to local risks
  • Federated typology sharing via the AFC Ecosystem
  • Smart Disposition engine for audit-ready alert summaries

Whether you're dealing with domestic mule activity, complex layering, or regulatory audits — FinCense helps you detect, investigate, and respond with speed, accuracy, and confidence.

The Stakes Are Higher Than Ever

Financial crime is evolving rapidly, and so is the regulatory bar. But throwing more people, more tools, and more money at the problem isn’t the answer.

The future of AML compliance in Australia lies in smarter systems, collaborative intelligence, and scalable solutions that adapt as the threat landscape changes.

Final Thought

Rising AML compliance costs don’t have to mean rising pain.

With the right technology, institutions in Australia can reduce risk, improve efficiency, and build lasting trust with regulators and customers alike.

If you're ready to reduce the cost and complexity of compliance, without compromising on quality — Tookitaki is here to help.

The Rising Cost of AML Compliance in Australia: Can Smarter Tools Reduce the Burden?