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Fraud Detection Sentinel Agent

Implements **anomaly detection models** trained on fraud patterns: unusual claim volumes, geographic impossibilities, provider billing anomalies, and identity inconsistencies. Uses Claude-3-Opus for complex fraud pattern analysis with explainable risk scoring.

Agent ID
fraud-sentinel
Sector Pharmaceutical Technology & Digital Health
Status
Operational

Problem Statement

The challenge addressed

Healthcare fraud costs **$68B+ annually** in the US alone—fraudulent claims, identity theft, and billing manipulation drain payer resources and increase premiums.

Core Logic

How the agent solves it

Implements **anomaly detection models** trained on fraud patterns: unusual claim volumes, geographic impossibilities, provider billing anomalies, and identity inconsistencies. Uses Claude-3-Opus for c...

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