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Unmasking the Hidden World of Financial Crime: A Deep Dive

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Tookitaki
7 min
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In today's advanced technological world, financial crime is a serious issue that can cause harm to people, businesses, and the entire financial system. It's crucial to know what financial crime is, the various forms it can take, and how we can find and stop it to make sure the financial industry is safe and trustworthy.

This article goes deep into the complexities of financial crime. It explains the different kinds of financial crime and looks at the ways we can discover and prevent it. It also talks about how technology helps fight these illegal activities and highlights the importance of following Anti-Money Laundering (AML) rules in the financial sector.

What is Financial Crime?

Financial crime is when people do illegal things related to money. They trick, lie, or cheat in financial transactions and organizations to get money in a bad way. This is very risky and harmful to individuals, companies, and the whole financial system.

Financial crime involves different types of illegal activities that are related to money. These activities include things like fraud, where people deceive others to gain money dishonestly, and manipulation, where people unfairly influence financial transactions for their own benefit. These actions can cause serious harm to individuals, businesses, and the overall stability of the financial system.

It is important to detect and prevent financial crime to protect people and ensure a fair and trustworthy financial environment. According to the United Nations Office on Drugs and Crime (UNODC), the profits generated from financial crime worldwide make up a significant 3.6% of the total global GDP.

The 2023 Fraud and Financial Crimes Report by Kroll serves as a clear indication that the risk of financial crime is still very much present. About 69% of those surveyed anticipate a rise in the threat of financial crime within the coming year. Upon closer examination of the statistics, at least 33% of respondents anticipate that the risks linked to cybersecurity and data breaches will materialize, hinting that around a third of the surveyed entities might face negative incidents.

Main Types of Financial Crime

The main types of financial crimes are:

  1. Fraud: Fraud is when people trick others to gain money dishonestly. There are different ways they do this, such as stealing someone's identity, using someone's credit card without permission, tricking people into investing in scams, or making false insurance claims. These deceitful practices are illegal and can cause a lot of harm to individuals and businesses.
  2. Money Laundering: Money laundering is a way to make illegally obtained money seem legal. People who engage in money laundering use different methods to hide the source of their illicit funds, like mixing them with legal money or putting them into legitimate financial systems. This makes it difficult to trace the illegal origins of the money and allows criminals to use it without arousing suspicion.
  3. Insider Trading: Insider trading is when someone takes advantage of secret information about companies that are publicly traded in the stock market. This secret information gives them an unfair advantage to make money for themselves. It is against the law because it's not fair to other investors who don't have access to the same confidential information.
  4. Corruption: Corruption is when people misuse their power or position for their own gain. This can happen in both public and private institutions. When corruption occurs, it undermines the honesty and fairness of these institutions, causing harm to society as a whole.

The above financial crime examples are often interrelated. For example, corruption is considered as a predicate offence to money laundering.

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Detection and Measures Against Financial Crimes

Detection and measures against financial crimes involve the implementation of advanced analytics and risk assessment techniques to identify and prevent fraudulent activities within financial systems. These steps are really important because they help keep banks and financial institutions safe from bad things like money laundering, fraud, and other illegal money activities.

Businesses can detect and prevent financial crimes to a large extent with the following measures:

  • Know Your Customer (KYC) Procedures: Detecting and preventing financial crimes involves using procedures like Know Your Customer (KYC) to ensure proper verification of customer identities and assess potential risks. By implementing thorough KYC procedures, financial institutions can gain a deeper understanding of their customers, mitigate the chances of fraudulent activities, and maintain regulatory compliance.
  • Transaction Monitoring: Transaction monitoring plays a crucial role in detecting financial crimes by continuously analyzing and scrutinizing customer transactions in real-time. These monitoring systems employ advanced algorithms and pattern recognition techniques to identify unusual or suspicious activities that may indicate fraudulent behavior or money laundering.
  • Enhanced Due Diligence (EDD): Enhanced Due Diligence (EDD) is a comprehensive process of conducting in-depth investigations and assessments of high-risk customers or transactions. It involves gathering additional information, such as the source of funds, beneficial ownership, and business relationships, to gain a better understanding of the associated risks.

Importance of Technology in the Fight Against Financial Crimes

Technology plays a crucial role in combating financial crimes by enabling advanced analytics and data-driven insights to detect and prevent fraudulent activities. Through the use of artificial intelligence, machine learning, and automation, financial institutions can enhance their risk management processes, improve transaction monitoring capabilities, and quickly identify suspicious patterns or anomalies for timely intervention and mitigation.

The following are the benefits that businesses can derive by using technology in their fight against financial crimes. 

  • Advanced Data Analysis: Advanced data analysis tools utilize sophisticated algorithms to examine large volumes of data, helping to uncover hidden patterns and anomalies that may indicate fraudulent activities. By analyzing diverse sources of information, such as transaction records and customer behaviour, these tools provide valuable insights to financial institutions in identifying potential risks and taking proactive measures to prevent financial crimes. 

Through the power of data analysis, institutions can strengthen their defenses and protect themselves and their customers from illicit activities.

  • Risk Scoring Models: Technology plays a crucial role in developing risk-scoring models that assess the likelihood of individuals or entities being involved in financial crimes. By leveraging advanced algorithms and machine learning techniques, these models analyze various data points and indicators to assign risk scores, enabling organizations to prioritize their resources and focus on high-risk entities. This technology-driven approach enhances the efficiency and effectiveness of risk management efforts, allowing for targeted interventions and preventive measures to combat financial crimes more effectively.
  • Automated Monitoring Systems: Automated monitoring systems play a vital role in the fight against financial crimes by continuously analyzing transactions in real-time. These systems utilize sophisticated algorithms to detect patterns, anomalies, and red flags associated with illicit activities, allowing for timely intervention and investigation. By automating the monitoring process, organizations can enhance their ability to identify and prevent potential financial crimes, improving overall security and reducing the risks posed by illicit activities.

AML Compliance and the Financial Sector

AML compliance is crucial for the financial sector to ensure adherence to anti-money laundering regulations and prevent illicit activities such as money laundering and terrorist financing. Financial institutions employ robust compliance measures, including customer due diligence, transaction monitoring, and reporting suspicious activities, to mitigate the risks associated with financial crimes and maintain the integrity of the financial system.

Here’s how financial institutions can ensure AML compliance:

  • Regulatory Adherence: Financial institutions are obligated to follow strict Anti-Money Laundering (AML) regulations imposed by regulatory bodies to prevent illicit activities. These regulations include conducting thorough customer due diligence, implementing effective transaction monitoring systems, and maintaining proper record-keeping procedures.
  • Training and Awareness: Regular training programs play a vital role in educating employees about AML requirements, red flags, and emerging trends in financial crimes. By enhancing their knowledge and awareness, financial institutions can strengthen their ability to detect and prevent suspicious activities and promote a culture of compliance.
  • Reporting and Cooperation: Reporting suspicious transactions to regulatory authorities is crucial for combating financial crimes. Financial institutions are encouraged to cooperate with law enforcement agencies and share relevant information to facilitate investigations and prosecutions. This collaboration ensures a coordinated effort in identifying and deterring money laundering, terrorist financing, and other financial illicit activities.

The Role of Tookitaki's Technology in Ensuring AML Compliance

Tookitaki's technology plays a crucial role in ensuring AML compliance for financial institutions. With its advanced machine learning capabilities and intelligent algorithms, Tookitaki's technology enhances detection accuracy and reduces false positives, enabling efficient identification of suspicious activities. By automating manual processes and streamlining compliance workflows, Tookitaki's technology increases operational efficiency and saves valuable time and resources. 

AMLS modules

Its robust risk models and data analytics capabilities enable financial institutions to stay compliant with AML regulations and adapt to evolving regulatory requirements. Additionally, Tookitaki's technology ensures data privacy and protection, aligning with global data protection standards. Overall, Tookitaki's technology empowers financial institutions to proactively combat money laundering and maintain a strong AML compliance program.

It's important to keep up with the changes and developments in financial crime because they can be complicated. We need to know about the different types of financial crimes, how to find them, and how to stop them. Using new technologies, such as the ones provided by Tookitaki, following Anti-Money Laundering (AML) rules, and working together with everyone involved are key in fighting against financial crimes. By letting more people know about this issue, coming up with good plans, and using new and creative ideas, we can make the financial world safer and stronger. 

Frequently Asked Questions (FAQs)

Q1: What is financial crime?

A1: Financial crime refers to illicit activities involving deceit, fraud, or manipulation within financial transactions or institutions, aimed at obtaining personal or unlawful financial benefits.

Q2: How to detect financial crimes?

A2: Financial crimes can be detected through robust measures, including thorough customer due diligence, real-time transaction monitoring, and enhanced scrutiny of high-risk customers or transactions.

Q1: What is the role of technology in detecting financial crimes?

A1: Technology plays a vital role in detecting financial crimes by using advanced data analysis and artificial intelligence to identify patterns, anomalies, and suspicious activities that may indicate illicit financial behaviour.

Q2: How does AML compliance help in preventing financial crimes?

A2: AML compliance requires financial institutions to establish systems and controls to detect and report suspicious transactions, making it harder for criminals to integrate illegal funds into the financial system and reducing the risk of financial crimes.

Q3: Why is collaboration important in the fight against financial crimes?

A3: Sharing information and working together increases the effectiveness of investigations, enables the exchange of best practices, and strengthens the overall response to financial crimes.

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Blogs
22 Aug 2025
4 min
read

Stopping Fraud in Its Tracks: Transaction Fraud Prevention in Taiwan’s Digital Age

Fraud moves fast and in Taiwan’s digital-first economy, transaction fraud prevention has become the frontline of trust.

With payment volumes soaring across e-wallets, online banking, and instant transfers, the fight against fraud is no longer about catching criminals after the fact. It’s about detecting and stopping them in real time. Advanced platforms such as Tookitaki’s FinCense are redefining how financial institutions in Taiwan and beyond approach this challenge — blending AI, collaboration, and regulatory alignment to build smarter defences.

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Taiwan’s Digital Finance Boom and the Fraud Challenge

Taiwan has become one of Asia’s leaders in digital payments, with e-wallet adoption rising sharply and cross-border transactions powering e-commerce. But speed and convenience come with vulnerabilities:

  • Account Takeover (ATO): Fraudsters gain access to accounts via phishing or malware.
  • Money Mules: Recruited individuals move illicit funds through small-value transactions.
  • Synthetic Identities: Fake profiles slip past onboarding checks to exploit payment rails.

Regulators such as the Financial Supervisory Commission (FSC) have ramped up requirements, urging banks and payment firms to adopt risk-based monitoring. But compliance alone isn’t enough — prevention requires smarter tools and adaptive intelligence, the kind being pioneered by Tookitaki’s AI-powered compliance platform.

What Is Transaction Fraud Prevention?

At its core, transaction fraud prevention means identifying, analysing, and blocking suspicious payments before they can be completed. Unlike post-event investigations, prevention focuses on:

  1. Real-Time Detection – Flagging anomalies instantly.
  2. Behavioural Analytics – Profiling normal user patterns to spot deviations.
  3. Risk Scoring – Assigning risk levels to every transaction.
  4. Adaptive Learning – Using AI to refine rules as fraud evolves.

For Taiwan, where instant payments via the Financial Information Service Co. (FISC) platform are mainstream, real-time fraud prevention is a necessity. Platforms like FinCense help banks achieve this by combining speed with precision.

Key Fraud Risks in Taiwan

1. Account Takeover via Phishing

Taiwanese banks report rising cases of SMS phishing (“smishing”), where fraudsters impersonate institutions. Once accounts are breached, rapid fund transfers are executed before victims react.

2. Online Investment Scams

Cross-border scam syndicates target Taiwanese consumers with fraudulent investment schemes, funnelling proceeds through mule networks.

3. Social Engineering

“Pig butchering” scams, romance fraud, and fake job offers have become prominent, with victims manipulated into initiating fraudulent transfers themselves.

4. Merchant Fraud

E-commerce sellers set up fake storefronts, collect payments, and disappear, leaving banks to handle disputes and reputational risks.

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Strategies for Effective Transaction Fraud Prevention

Real-Time Monitoring

Fraud can unfold in seconds. Systems must analyse every transaction as it occurs, applying machine learning to flag suspicious transfers instantly. Tookitaki’s FinCense does this by ingesting real-time data streams and applying dynamic thresholds that adapt as fraud tactics change.

AI-Driven Risk Modelling

Instead of static rules, AI models learn from both fraud attempts and genuine behaviour. For example, FinCense leverages federated learning from a global network of institutions, enabling it to detect anomalies like unusual device fingerprints or abnormal transaction velocity — even when fraudsters attempt never-before-seen tactics.

Cross-Institution Collaboration

Fraudsters rarely confine themselves to one bank. Taiwan’s industry can strengthen defences by sharing red flags across institutions. Through the AFC Ecosystem, Tookitaki empowers banks and fintechs to access shared typologies and indicators, helping the industry act collectively against emerging fraud schemes.

Regulatory Alignment

The FSC requires strict fraud monitoring standards. Tookitaki’s compliance solutions are designed with explainable AI and governance frameworks, aligning directly with regulatory expectations while maintaining operational efficiency.

Customer Awareness

Technology alone isn’t enough. Banks should run consumer education campaigns to help customers spot phishing attempts and suspicious investment offers. FinCense complements this by reducing false positives, ensuring customers are not unnecessarily disrupted while genuine fraud attempts are intercepted.

Transaction Fraud Prevention in Practice

Case Example:

A Taiwanese bank detected an unusual pattern where multiple accounts began transferring small sums to the same overseas merchant. Using behavioural analytics powered by AI, the system flagged it as mule activity. Within minutes, the institution froze accounts, reported to the FSC, and prevented further losses.

Solutions like FinCense allow this type of proactive monitoring at scale, reducing detection lag and limiting potential reputational damage.

How Technology Is Raising the Bar

Transaction fraud prevention is no longer just about blacklists or simple thresholds. Cutting-edge solutions now combine:

  • Machine Learning Models trained on fraud typologies
  • Federated Intelligence Sharing across institutions to learn from global red flags
  • Explainable AI (XAI) to ensure transparency in decisions
  • Automated Investigation Tools to reduce false positives and improve efficiency

Tookitaki’s FinCense unites these capabilities into a single compliance platform — enabling financial institutions in Taiwan to monitor transactions in real time, adapt to evolving risks, and demonstrate clear accountability to regulators.

Why Transaction Fraud Prevention Matters for Taiwan’s Reputation

Taiwan’s financial system is a trusted hub in Asia. Yet with global watchdogs like FATF scrutinising AML/CFT effectiveness, a weak approach to fraud prevention could tarnish the country’s standing.

Robust prevention not only protects banks and customers — it safeguards Taiwan’s role as a secure, innovation-driven financial market. Tookitaki’s role as the “Trust Layer to fight financial crime” helps institutions balance growth and security, ensuring trust remains central to Taiwan’s digital finance journey.

Conclusion: Building Smarter Defences for Tomorrow

Fraudsters are fast, but Taiwan’s financial industry can be faster. By investing in transaction fraud prevention powered by AI, data collaboration, and regulatory alignment, banks and payment firms can build a financial system rooted in trust.

With advanced platforms like Tookitaki’s FinCense, institutions can move beyond reactive defence and adopt proactive, intelligent, and collective prevention strategies. Taiwan now has the opportunity to set the benchmark for Asia — proving that convenience and security can go hand in hand.

Stopping Fraud in Its Tracks: Transaction Fraud Prevention in Taiwan’s Digital Age
Blogs
22 Aug 2025
5 min
read

Chasing Zero Fraud: Finding the Best Anti-Fraud Solution for Australia

Fraudsters are getting smarter — but the best anti-fraud solutions are evolving even faster.

Fraud in Australia is no longer just about stolen credit cards or phishing emails. Today, fraudsters use AI deepfakes, synthetic identities, and mule networks to move billions through legitimate institutions. Scamwatch reports that Australians lost over AUD 3 billion in 2024, and regulators are tightening expectations. In this climate, choosing the best anti-fraud solution isn’t just an IT decision — it’s a strategic imperative.

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Why Fraud Prevention Has Become Business-Critical in Australia

1. Instant Payment Risks

The New Payments Platform (NPP) has made payments faster, but it also allows criminals to launder money in seconds.

2. Social Engineering & Scam Surge

Romance scams, impersonation fraud, and investment scams are rising sharply. Many involve victims authorising payments themselves — a challenge for traditional detection systems.

3. Regulatory Pressure

AUSTRAC and ASIC expect financial institutions to adopt proactive fraud prevention. Weak controls can lead to fines, reputational loss, and customer churn.

4. Consumer Trust

Australians expect safe, frictionless digital experiences. A single fraud incident can erode customer loyalty.

What Defines the Best Anti-Fraud Solution?

1. Real-Time Fraud Detection

The solution must monitor and analyse transactions instantly, with no batch delays.

  • Velocity monitoring
  • Device and IP fingerprinting
  • Behavioural biometrics
  • Pattern recognition

2. AI and Machine Learning

The best anti-fraud systems use AI to adapt to new typologies:

  • Spot anomalies that rules miss
  • Reduce false positives
  • Continuously improve detection accuracy

3. Multi-Channel Protection

Covers fraud across:

  • Bank transfers
  • Card payments
  • E-wallets and digital wallets
  • Remittances and cross-border corridors
  • Crypto exchanges

4. End-to-End Case Management

Integrated workflows that allow fraud teams to investigate, resolve, and report within the same system.

5. Regulatory Alignment

Supports AUSTRAC compliance with audit trails, suspicious matter reporting, and explainability.

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Use Cases for Anti-Fraud Solutions in Australia

  • Account Takeover (ATO): Detects unusual login + transfer behaviour.
  • Payroll Fraud: Flags sudden beneficiary changes in salary disbursement files.
  • Romance & Investment Scams: Detects unusual transfer chains to new or overseas accounts.
  • Card-Not-Present Fraud: Blocks suspicious e-commerce transactions.
  • Crypto Laundering: Identifies fiat-to-crypto activity linked to high-risk wallets.

Red Flags the Best Anti-Fraud Solution Should Catch

  • Large transfers to newly added beneficiaries
  • Multiple small transactions in rapid succession (smurfing)
  • Login from a new device/IP followed by immediate transfers
  • Customers suddenly transacting with high-risk jurisdictions
  • Beneficiary accounts linked to mule networks

How to Choose the Best Anti-Fraud Solution in Australia

Key questions to ask:

  1. Can it handle real-time detection across all channels?
  2. Does it integrate seamlessly with your AML systems?
  3. Is it powered by adaptive AI that learns from evolving fraud tactics?
  4. How well does it reduce false positives?
  5. Does it meet AUSTRAC’s compliance requirements?
  6. Does it come with local expertise and support?

Spotlight: Tookitaki’s FinCense as the Best Anti-Fraud Solution

Among global offerings, FinCense is recognised as one of the best anti-fraud solutions for Australian institutions.

  • Agentic AI detection for real-time fraud monitoring across banking, payments, and remittances.
  • Federated learning from the AFC Ecosystem, bringing in global crime typologies and real-world scenarios.
  • FinMate AI copilot helps investigators close cases faster with summarised alerts and recommendations.
  • Cross-channel visibility covering transactions from cards to crypto.
  • Regulator-ready transparency with explainable AI and complete audit trails.

FinCense not only detects fraud — it prevents it by continuously learning and adapting to new scam typologies.

Conclusion: Prevention = Protection = Trust

In Australia’s high-speed financial landscape, the best anti-fraud solution is the one that balances real-time detection, adaptive intelligence, and seamless compliance. It’s not just about stopping fraud — it’s about building trust and future-proofing your institution.

Pro tip: Don’t just ask if a solution can detect today’s fraud. Ask if it can evolve with tomorrow’s scams.

Chasing Zero Fraud: Finding the Best Anti-Fraud Solution for Australia
Blogs
21 Aug 2025
5 min
read

Malaysia’s Compliance Edge: Why an Industry-Leading AML Solution Is Now Essential

Financial crime is moving faster than ever — and Malaysia needs an AML solution that can move faster still.

The Rising Stakes in Malaysia’s Fight Against Financial Crime

In Malaysia, the financial sector is at a crossroads. With rapid digitalisation, the boom in fintech adoption, and cross-border flows surging, financial crime has found new entry points. Bank Negara Malaysia (BNM) has been firm in its stance: compliance is not optional, and institutions that fail to meet evolving standards face reputational and financial fallout.

At the same time, fraudsters are becoming more sophisticated. From money mule networks exploiting young workers and students to investment scams powered by social engineering and deepfakes, Malaysia is seeing threats that transcend borders.

Against this backdrop, the demand is clear: financial institutions need an industry-leading AML solution that not only meets regulatory expectations but also builds consumer trust in a fast-changing market.

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Why “Industry Leading” Is More Than a Buzzword

Every vendor claims to offer the “best” AML software, but in practice, very few solutions rise to the level of being industry leading. In the Malaysian context, where financial institutions must juggle FATF recommendations, BNM guidelines, and ASEAN cross-border risks, the definition of “industry leading” is clear.

An AML solution in Malaysia today must be:

  • AI-driven and adaptive — able to evolve with new money laundering and fraud typologies.
  • Regulator-aligned — transparent, explainable, and in line with AI governance principles.
  • Comprehensive — covering both AML and fraud in real-time, across multiple payment channels.
  • Scalable — capable of supporting banks and fintechs with diverse customer bases and transaction volumes.
  • Collaborative — leveraging intelligence beyond siloed data to detect emerging risks faster.

Anything less leaves financial institutions vulnerable.

The Challenge with Legacy AML Systems

Many Malaysian banks and fintechs still rely on legacy transaction monitoring systems. While these systems may tick the compliance box, they struggle with modern threats. The common pain points include:

  • High false positives — compliance teams are overwhelmed with noise instead of meaningful alerts.
  • Static rule sets — traditional systems cannot keep pace with the speed of criminal innovation.
  • Limited explainability — leaving compliance officers unable to justify decisions to regulators.
  • Fragmentation — siloed systems across AML and fraud prevention create blind spots in detection.

The result? Compliance teams are overstretched, risks are missed, and customer trust is eroded.

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Tookitaki’s FinCense: Malaysia’s Industry-Leading AML Solution

This is where Tookitaki’s FinCense stands apart — not just as another AML system, but as the Trust Layer to fight financial crime.

FinCense is purpose-built to help financial institutions in Malaysia and beyond move from reactive compliance to proactive prevention. Here’s why it leads the industry:

1. Agentic AI Workflows

FinCense harnesses Agentic AI, a next-generation compliance framework where AI agents don’t just analyse data but take proactive actions across the investigation lifecycle. This enables:

  • Automated alert triage
  • Smarter case management
  • Real-time recommendations for compliance officers

The outcome: compliance teams spend less time firefighting and more time making strategic decisions.

2. Federated Learning: Collective Intelligence at Scale

Unlike siloed systems, FinCense taps into a federated learning model through the AFC Ecosystem — a community-driven network of financial institutions, regulators, and compliance experts. This allows Malaysian banks to detect threats that may have first emerged in other ASEAN markets, giving them a head start against syndicates.

3. Explainable, Regulator-Aligned AI

Trust in compliance technology hinges on explainability. FinCense is designed to be fully explainable and auditable, aligned with frameworks like Singapore’s AI Verify. For Malaysian banks, this ensures regulators can clearly understand the basis for alerts, reducing friction and enhancing oversight.

4. End-to-End Coverage: AML + Fraud

FinCense goes beyond AML, offering integrated coverage across:

  • Transaction monitoring
  • Name screening
  • Fraud detection
  • Smart disposition and narration tools for investigations

This eliminates the need for multiple systems and ensures compliance teams have a single view of risk.

5. ASEAN Market Fit

FinCense is not a one-size-fits-all solution. Its scenarios and typologies are tailored to the realities of ASEAN markets, including Malaysia’s unique mix of cross-border remittances, e-wallet adoption, and high cash usage. This localisation ensures higher detection accuracy and relevance.

What This Means for Malaysian Banks and Fintechs

Adopting an industry-leading AML solution like FinCense translates to tangible benefits:

  • Reduced Compliance Costs — through automation and lower false positives.
  • Faster, More Accurate Detection — stopping illicit funds before they can be layered or withdrawn.
  • Regulatory Confidence — meeting BNM and FATF expectations with explainable, auditable AI.
  • Stronger Customer Trust — safeguarding against scams and building confidence in digital finance.

With Malaysia pushing to strengthen its financial system and attract international investment, trust is the new currency. A compliance framework that prevents financial crime effectively is no longer optional — it is foundational.

The Road Ahead: Building Malaysia’s Trust Layer

Financial crime is only going to get smarter. With the rise of instant payments, deepfake-driven scams, and cross-border mule networks, Malaysia’s financial sector needs a solution that evolves just as quickly.

Tookitaki’s FinCense is more than software — it is the Trust Layer that empowers banks and fintechs to detect risks early, protect customers, and stay a step ahead of regulators and criminals alike.

For Malaysian financial institutions, the choice is clear: staying competitive in the region means adopting an industry-leading AML solution that can deliver speed, precision, and transparency at scale.

Malaysia’s Compliance Edge: Why an Industry-Leading AML Solution Is Now Essential