GitHub

Temporal Graph Neural Networks for Real-Time Financial Fraud Detection

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
GoUpstate

The Deepfake Summit Announced as the First Prism Project Event, Convening Fraud & Identity Leaders on AI-Driven Threats

DENVER, CO, UNITED STATES, January 12, 2026 /EINPresswire.com/ — The Deepfake Summit, the first official event produced by The Prism Project and Acuity Market ...
IEEE

Insurance Claim Fraud Detection Using Machine Learning

Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...
WFAA8

'This is absolutely criminal' | Homeowners speak out after contractors admit guilt in nearly $5M fraud case

FORT WORTH, Texas — Kristin Newman imagined herself growing into the house — building a future there, starting a family, settling in. “I was planning on kind of growing into this house,” Newman said.
Forbes

Beyond Detection: How Fraud Scoring Transforms Risk Management For Modern Banks

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...