More Screening Rules vs Alert Quality
Continuously measure and retire low-value detection rules, using machine learning to raise alert precision and protect investigator capacity.
CyberTRIZ analysis · Banking contradiction AML012 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Adding more AML detection rules appears to improve financial crime detection but often generates excessive duplicate alerts and investigator overload.
Banking TRIZ Resolution
Prioritize alert quality over alert quantity by continuously measuring rule effectiveness, removing low-value scenarios, and applying machine learning to improve precision.
Recommended Banking TRIZ Principles
Principle 2 - Taking Out
Principle 15 - Dynamics
Principle 23 - Feedback
Principle 35 - Parameter Changes
Expected Outcome
Higher-quality alerts
Lower false positives
Better investigator productivity
Improved AML performance