AI-Driven Transaction Monitoring Reshaping Fraud Detection in Banking

Artificial intelligence–powered transaction monitoring is rapidly transforming how banks detect fraud and manage financial crime risks. As digital transactions grow across payment systems, financial institutions are increasingly adopting advanced analytics and machine learning tools to strengthen surveillance frameworks. AI-driven monitoring Read More …

Human Judgement Seen as Critical to Effective Financial Crime Risk Assessments

Financial institutions are being urged to place greater emphasis on human judgement and expertise alongside technology when strengthening financial crime risk assessments. As firms increasingly deploy automated systems to detect fraud, money laundering and other illicit activities, experts highlight that Read More …

Bangladesh Bank launches risk-based supervision to strengthen oversight

The Bangladesh Bank (BB) has introduced a new Risk-Based Supervision (RBS) framework, marking a shift from traditional compliance-oriented oversight to a more proactive, risk-centric supervision model aimed at restoring confidence among depositors and strengthening financial system resilience. Under the new Read More …

OCC moves to reform liquidity risk and AML compliance frameworks

The U.S. Office of the Comptroller of the Currency (OCC) has announced plans to strengthen regulatory expectations around liquidity risk management and anti-money-laundering (AML) compliance for national banks and federal savings associations. The proposed reforms aim to enhance the resilience Read More …