From Quantiply

Sensemaker® learns and adapts based on individual transactions and behaviors between specific entities and their subsequent relationships. This approach not only reduces the total number of alerts over time but also enables detecting and preventing crime by characterizing risk through behaviors and actions instead of through rigid rules. By keeping analysts, investigators, and auditors in the loop, these assumptions can either be reinforced or refuted by AML analysts and investigators to further train the system and increase overall accuracy.

Features: data analysis • financial information analysis •

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