Identity Verification / Fraud Prevention
Hybrid reactive-proactive fraud investigation methodology combining correlation analysis of reported fraud with a 6-layer graph analysis in Neo4j to uncover coordinated fraud networks and policy gaps across the client's identity verification platform.
From just 2 reported sessions, uncovered a 42-credential fraud network across 1,100+ transactions with an 85-100% success rate. Identified critical policy gaps where fraud signals were being detected but not enforced. Projected 95%+ fraud reduction from recommended fixes.