Continuous Learning vs Regulatory Validation
Enforce a mandatory staging environment where updated AML ML models complete validation and governance sign-off before replacing production models.
CyberTRIZ analysis · Banking contradiction AML032 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Machine learning models improve continuously as new financial crime patterns emerge. Regulators, however, expect validated, documented, and stable detection models.
Banking TRIZ Resolution
Separate model learning from production deployment. Updated models should pass structured validation, governance approval, and performance testing before operational release.
Recommended Banking TRIZ Principles
Principle 10 - Beforehand Action
Principle 23 - Feedback
Principle 26 - Copying
Principle 40 - Composite Materials
Expected Outcome
Better model performance
Stronger governance
Reduced model risk
Improved regulatory confidence