Developers Build Real-Time AI Fraud Detection System Using TigerGraph and FastAPI

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A development team has built 'Agentic Fraud Sentinel,' an autonomous real-time fraud detection system designed to overcome the limitations of traditional SQL databases in identifying complex financial fraud. The system leverages TigerGraph's GraphRAG engine to perform deep multi-hop graph traversals in milliseconds, analyzing connections such as shared IP addresses, linked device IDs, and rapid cross-account money transfers. A FastAPI backend hosted on Render handles business logic and orchestration, while a static dashboard is deployed separately on Vercel. The system generates explainable Chain-of-Thought reasoning and dynamic fraud scores, enabling automated responses such as blocking cards and filing Suspicious Activity Reports. The project is publicly available on GitHub, with a live frontend demo accessible via Vercel.

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