{
  "id": 9604649,
  "title": "Built an agentic fraud investigator using",
  "url": "https://urgent.news/2026/09/24/built-an-agentic-fraud-investigator-using",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-24T18:20:23.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/sukalyan_ranasingha_c606a/built-an-agentic-fraud-investigator-using-4eeg"
  },
  "original_language": "de",
  "account": null,
  "summary": "Built an Agentic Fraud Investigator using TigerGraph for #HHGOA2026 🚀 My agent investigates fraud like an analyst: Graph Traversal -> Case Memory -> Policy Engine -> Next-Best Action + SAR Fraud is relational, so the DB should be too. Repo: https://github.com/foxmaster77/tigergraph LInk : https://tigergraph-2cd6jdrgrem2jblxb49zjj.streamlit.app @TigerGraphDB @247pmstudio",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}