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Thoughts on AI for real-time AML transaction monitoring?
Curious if anyone's successfully integrated AI beyond basic rule-based systems for real-time AML flagging, especially for higher volume payment flows. What have the main hurdles been with false positives versus actual threat detection?
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We've experimented with some unsupervised learning models for anomaly detection, but the regulatory burden of explaining why something was flagged makes it challenging to implement at scale. False positives are still a significant drain on resources.