AI KFI Suggestions
The RAALS AI KFI Suggestions module leverages machine learning to analyze existing cases, system patterns, and user queries in order to generate data-driven recommendations for new or optimized indicators.
It helps organizations evolve faster by continuously improving detection logic and adapting to emerging fraud trends.
By automating the discovery of new KFIs, the module enhances detection precision and ensures that investigative teams stay ahead of sophisticated schemes with minimal manual input.
AI-driven recommendations: Suggests new or updated indicators based on historical patterns.
Continuous optimization: Learns from resolved cases to refine existing detection logic.
Rapid adaptation: Adjusts to new fraud trends and typologies automatically.
Integration with KFI Generator: Enables direct deployment or testing of suggested indicators.
Time-saving automation: Reduces manual configuration while increasing detection coverage.