
How Fuzzy Matching and Machine Learning Are Transforming AML Technology
Traditional anti money laundering systems rely on static thresholds and fixed rules to detect suspicious behavior. These approaches often produce high false positive rates, creating operational friction and excessive workloads. The Financial Action Task …