Building an Autonomous Fraud Investigation Agent with TigerGraph, GraphRAG & Case Memory

Automated excerpt

Fraud analysts often need to manually correlate transaction histories, device relationships, previous cases, and investigation evidence. For the Hacker House Goa (HHGOA) Challenge, we built an Autonomous AI Fraud Investigation System combining TigerGraph, GraphRAG, precedent case memory, deterministic fraud policies, and agentic workflows. The system contains 5,565 historical closed fraud cases.

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