About the Module
The RAALS KFI Generator & Sandbox module gives organizations the flexibility to create, modify, and validate Key Fraud Indicators (KFIs) without the need for coding or IT support.
It bridges the gap between data analysts and fraud investigators, enabling rapid development of detection rules that align with evolving business needs.
With its integrated sandbox environment, teams can simulate and validate indicators before deployment — ensuring reliability, minimizing false positives, and optimizing overall system performance.
The module also leverages AI-driven rule suggestions and historical data analysis to enhance precision, learning from confirmed cases to refine detection logic continuously.
When combined with RAALS Mongo Wizard & Reporting (MWR), organizations gain end-to-end visibility across data sources — from intuitive rule design to advanced fraud pattern discovery and automated alerting.
This synergy empowers businesses to move from reactive detection to proactive fraud intelligence, accelerating investigations and protecting revenue in real time.
Key Features
No-code rule creation: Design and modify Key Fraud Indicators (KFIs) quickly and independently, without IT involvement.
AI-assisted rule generation: Receive automated proposals and recommendations based on historical fraud data and behavioral patterns.
Smart anomaly detection: Identify irregular entities, transactions, and behaviors using configurable parameters.
Safe sandbox validation: Test indicators in a secure, isolated environment before production rollout.
Continuous optimization: Automatically refine detection rules as new data, trends, and confirmed cases emerge.
Cross-module integration: Works seamlessly with RAALS MWR, AI KFI Suggestion, and Case Scoring modules for full analytical coverage.
Compliance-ready design: Supports data segmentation, access control, and GDPR alignment for secure rule testing and deployment.