Building FraudGraph Agent: Autonomous Fraud Investigation & Policy-Compliant Next-Best Action with TigerGraph

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How we combined TigerGraph 4. 2. 5, Model Context Protocol (MCP), calibrated Graph ML, Vector GraphRAG, and deterministic policy enforcement to build an enterprise-grade autonomous fraud investigator. FraudGraph Agent is an autonomous, graph-native fraud investigator that takes raw alerts, navigates a 590,000+ transaction TigerGraph knowledge graph, diagnoses the exact fraud typology, gathers multi-source evidence, enforces a deterministic policy engine for next-best actions, drafts regulatory FinCEN Suspicious Activity Reports (SARs), and writes its findings back into graph memory. │ Filters: │ │ Stop Rule: p >= 0. 85 or p <= 0. 15 [0. 92 FRAUD]│ │ │ - 14.

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