Democrats need to appreciate that welfare fraudsters aren’t just stealing money—they’re also eroding the case for a strong ...

Abstract: Over past few years, due to rise in complexity and number of fraudulent activities in financial system, financial fraud detection has become an important area of research and application.

Naresh Bandaru receives a 2026 Global Recognition Award for leading the design of compliance-focused data and AI ...

Expert DIYer April Wilkerson installs a rainwater collection system to provide sustainable garden irrigation. Massive fraud allegations in California: What we know Hundreds of tourists stranded on ...

In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. The prevalence and risk of internal fraud is a significant ...

Imagine you’re at a coffee shop, tapping your card to grab a latte, or a small business owner in Ohio swiping to pay a supplier. These moments seem simple, but they’re powered by a vast digital ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...

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 ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...