Automated Name Matching vs Screening Accuracy
Replace exact-name matching with AI-assisted fuzzy and contextual entity resolution to reduce false positives without increasing sanctions evasion risk.
CyberTRIZ analysis · Banking contradiction AML030 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Sanctions and PEP screening systems compare millions of names daily. Strict matching increases false positives, while relaxed matching increases the possibility of missed detections.
Banking TRIZ Resolution
Use fuzzy matching, contextual information, transliteration analysis, AI-assisted entity resolution, and confidence scoring instead of exact-name comparison alone.
Recommended Banking TRIZ Principles
Principle 15 - Dynamics
Principle 23 - Feedback
Principle 28 - Replacement of Mechanical Systems
Principle 35 - Parameter Changes
Expected Outcome
Better screening accuracy
Fewer false positives
Lower investigation effort
Stronger sanctions compliance