Setting the right business rules and thresholds for anti-money laundering (AML) transaction monitoring is a delicate balance. They must be detailed enough to capture all potentially suspicious activity without being so broad that they generate too many ‘false positives’.
Chasing false leads costs businesses multi-billions a year – some estimate it equates to more than 40% of companies’ total AML compliance outlay. But how do you achieve equilibrium?
This e-book will cover:
- How to create better rules
- How to avoid common pitfalls
- AML compliance rule examples
- AI and machine learning solutions
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