Developer Builds Agentic Fraud Investigator Powered by TigerGraph Graph Database

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A developer has built an agentic fraud investigation tool using TigerGraph, a graph database platform, as part of the HHGOA2026 hackathon. The tool is designed to mimic how a human analyst investigates fraud by leveraging relational data connections. The project is built on the premise that fraud is inherently relational, making graph databases a natural fit for detecting it. The application is deployed via Streamlit and the source code has been made publicly available on GitHub.

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