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  • Category: Fraud Detection

Category: Fraud Detection

Machine Learning & Watchlist Filtering: Reducing Operational Drag
AI in AML

Machine Learning & Watchlist Filtering: Reducing Operational Drag

Sanctions and watchlist screening are essential components of any AML compliance program.  Yet traditional rule-based systems generate overwhelming volumes of false positives, up to 95%…

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Trade-Based Money Laundering: Red Flags for Multinational Compliance Teams
AI in AML

Trade-Based Money Laundering: Red Flags for Multinational Compliance Teams

Trade-based money laundering (TBML) exploits the global trade system to disguise illicit proceeds as legitimate commerce.  By manipulating pricing, quantities, or documentation across borders, criminals…

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Fintech & Fraud: Safeguarding P2P Payments Against Money Laundering
AI in AML

Fintech & Fraud: Safeguarding P2P Payments Against Money Laundering

Peer-to-peer (P2P) payments have fundamentally changed the way money moves in the digital age. Fast, convenient, and borderless, these transactions are now an everyday tool…

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Screening for the Unknown: Unmasking Shell Companies in Financial Flows
AI in AML

Screening for the Unknown: Unmasking Shell Companies in Financial Flows

Shell companies have long been used as tools for financial crime, but in 2025, they’ve become even harder to detect. They are legally registered, often…

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Digital Identity & KYC: How Biometrics Are Changing Customer Verification
AI in AML

Digital Identity & KYC: How Biometrics Are Changing Customer Verification

The way we prove who we are online has changed dramatically.  By 2025, biometrics, think facial recognition, fingerprints, and voice scans, are no longer futuristic…

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What Asset Platforms Need to Know About Transaction Fraud in 2025
AI in AML

What Asset Platforms Need to Know About Transaction Fraud in 2025

In 2025, asset platforms, from trading apps to token exchanges to wealthtech solutions, are dealing with a new kind of fraud: multi-layered, fast-moving, and increasingly…

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How Lending Institutions Can Triage High-Risk Applicants Instantly
AI in AML

How Lending Institutions Can Triage High-Risk Applicants Instantly

In the digital lending space, speed is everything. Customers expect decisions in minutes, not days. But when risk signals are missed in the rush to…

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Regtech for Banks: How to Transition Without Losing Control
AI in AML

Regtech for Banks: How to Transition Without Losing Control

For banks, adopting regtech is no longer a question of if, but how. Amid growing regulatory complexity, heightened AML expectations, and pressure to reduce operational…

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Continuous Monitoring: What It Is and Why You Need It
AI in AML

Continuous Monitoring: What It Is and Why You Need It

The compliance landscape in 2025 is dynamic, not static. Risk profiles shift overnight. Sanctions lists are updated daily. And suspicious activity doesn’t wait for periodic…

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Remittance Platforms: How to Stay Compliant Across Borders
AI in AML

Remittance Platforms: How to Stay Compliant Across Borders

Cross-border remittances are faster and more accessible than ever. Whether it’s a migrant worker sending wages home or a fintech platform powering peer-to-peer payments across…

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