| Machine learning models Use supervised learning informed by historical outcomes to evaluate and score alerts more accurately. Reduce false positives and identify the most relevant threats. |
| Behavioral analytics integration Leverage behavioral indicators alongside rules-based alerts to optimize outcomes. |
| Productivity classification Automatically identify alerts as productive or nonproductive to streamline prioritization by focusing on the cases with the highest potential risk. |
| Risk-based alert prioritization Rank alerts based on risk level so analysts can focus attention on the most serious threats. |
| Investigation portal Enable seamless access to relevant alert data within the AML Risk Manager portal to support holistic investigations – resolving cases faster. |
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