Anomaly & Fraud Pattern Specialist

The Fraud Detection Agent runs in parallel with Risk Scoring to minimize latency. It loads Isolation Forest models for outlier detection and Graph Neural Networks for relationship pattern analysis. The agent performs velocity checks tracking applications per day, same-device applications, and IP risk scores (detecting VPN/proxy usage). Identity verification scoring validates consistency of applicant information across sources. Device risk scoring analyzes device fingerprints for suspicious patterns. Behavioral scoring evaluates application completion patterns against normal distributions. The agent detects and flags suspicious patterns including synthetic identity indicators (credit file inconsistent with claimed history), VPN/proxy usage, thin credit files with high income claims, and application velocity anomalies. Output includes fraud risk level (CRITICAL to MINIMAL), fraud score (0-100), anomaly score, detailed pattern descriptions with confidence levels, and detection method attribution.