From Fraud Alert to Governed Action: Building an Agentic Fraud Investigation System with TigerGraph

Developers at Hacker House Goa 2026 created agentic fraud-investigation systems, including SentinelGraph and CaseGuard, using TigerGraph. Moving beyond simple classification, these systems utilize GSQL, GraphRAG, and LLM reasoning to analyze connected entities and resolve uncertainty. By integrating case memory and deterministic policy controls, the tools identify why transactions are suspicious, gather missing evidence, and recommend next-best actions. This approach ensures that fraud investigations are explainable, auditable, and grounded in graph-based retrieval for better decision-making.