High-quality data is the bedrock of an effective anti-money laundering (AML) and watchlist screening programme. Incomplete or inaccurate data can lead to false negatives, potentially allowing illicit ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Sponsored by the Master of Arts in Financial Integrity program Experts in Anti-Money Laundering and Risk Management techniques in financial institutions discuss the use of bulk data analysis to ...

Increasing geopolitical instability, regulatory developments, and technological advances are set to contribute to a rapidly changing anti-money laundering (AML) landscape in 2024. Here, we look at ...

Financial Conduct Authority enforcement action in the anti-money laundering space can often feel cyclical, revisiting the ...

Advancements in AI, particularly the emergence of agentic AI, are transforming the banking sector. Unlike traditional AI, which relies on predefined rules and passive data processing, agentic AI ...

As we shift towards a digital economy, Data engineering and modernization of the Banking and Finance systems are extremely critical. Employing robust data strategies and governance protocols designed ...

ThetaRay, a firm providing Cognitive AI financial crime compliance, has released a study on the future of anti-money laundering (AML) in Europe. The study warns that Europe’s anti-money laundering ...

ThetaRay, a global leader in Cognitive AI financial crime compliance, today released a landmark study on the future of anti-money laundering in Europe. The study warns that Europe’s anti-money ...

In this article, we examine why Canada has become a strategic launchpad for FinTech and crypto founders, and how executive teams can leverage AML Incubator to ...