Precision AML Detection with Behavioural Models

Custom machine learning intelligence that adapts to evolving financial crime, reduces false positives by 50%, and delivers audit-ready transparency

Precision AML Detection with Behavioural Models

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See how Behavioural Models can transform your AML program

Why Behavioural Models for Financial Crime Detection?

Traditional rule-based systems struggle to keep pace with evolving financial crime. Behavioural Models use advanced machine learning to:

  • Reduce false positives by 50%
  • Uncover hidden risks that static rules miss
  • Precision detection with audit-ready transparency.
Why Behavioural Models for Financial Crime Detection?

Key Capabilities That Drive Results

Purpose-built features and low-code customization deliver enterprise-scale AML detection with rich investigative context

270+ Purpose-Built Features

270+ Purpose-Built Features

Base features and 70+ red flag indicators designed specifically for AML typologies to deliver precise, relevant detection

Low-Code Customization

Low-Code Customization

Build and deploy custom models without large data science teams-80% less tuning effort means faster time to value

Enterprise Scale Performance

Enterprise Scale Performance

Process 200M+ transactions daily with consistent performance-built for the largest financial institutions

Rich Investigative Context

Rich Investigative Context

Evidence-based documentation with explanations for faster, more decisive investigations and audit-ready transparency

The Precision Advantage: 50% More True Risks, Half the Alerts

While rule-based systems generate high alert volumes with low conversion to SARs-leaving relevant risks undetected-Behavioural Models identify 50% more true and relevant risks while cutting total alerts in half.

Oracle Financial Crime and Compliance Management (FCCM) Behavioural Models deliver precision detection with machine learning that adapts to new typologies, rich explanations for investigators, and audit-ready transparent modelling that satisfies regulators.


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