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Building FraudGraph Investigator: An AI-Powered Graph-Based Fraud Investigation System

This story is from 2026-09-24. It is preserved in the archive; the latest stories are on the live feed.

How we combined TigerGr aph, LangGraph, MCP, evidence analysis, case memory, and policy-based decisions to investigate suspicious transactions. Introduction Fraud detection is often treated as a classification problem: given a transaction, determine whether it is suspicious or legitimate. But real…

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  1. 2026-09-24 17:39 · DEV Community — AI
    Building FraudGraph Investigator: An AI-Powered Graph-Based Fraud Investigation System

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