#frauddetection

For the TigerGraph Hacker House Goa challenge we built an agent that works fraud alerts the way an...

Watch the 4-minute demo: https://youtu.be/hMCUqjbN9js?si=wJPxXt_Av67RlP4x The model...

TL;DR : We built a 9-node LangGraph agent that investigates fraud cases end-to-end. It uses...

🚨 Meet CaseGuard — an agentic AI fraud investigation system powered by TigerGraph. 🔍 GSQL +...

🚨 Introduction Traditional fraud systems often make a simple fraud vs. legitimate decision...

Building an Autonomous Fraud Investigation Agent with TigerGraph, GraphRAG & Case...

Most business problems do not begin with a dramatic failure. They often start with a small...

Key Takeaways JPMorgan Chase reports $2 billion in annual savings from over 450 AI use cases in...

Architecture of Mobile Fraud Investigation A fraud engine may decide in milliseconds, but...

WebMCP breaks four fraud signals for small SaaS checkouts—time-on-page, mouse entropy, cookie continuity, and per-IP rate limits—requiring signed

Designing AI-Powered Risk Scoring for Mobile Transactions A mobile transaction can be...

A business can have years of customer records, operational data, financial transactions, and sales...