Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...

Fraudulent activities within the financial services sector have escalated into a significant concern, with projections indicating that online payment fraud could result in losses exceeding $206 ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

Fraud detection is a high-stakes game of cat and mouse, with retail businesses continually adapting to outsmart increasingly sophisticated fraudsters. As ecommerce losses from online payment fraud ...

A new machine learning breakthrough outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud ...

In 2025, global losses from digital payment fraud exceeded $48 billion. For a Fortune 500 fintech company serving over 100 million customers across tax preparation, small business accounting, personal ...

Rising reverse logistics costs and coordinated refund abuse push retailers toward real-time risk scoring, identity intelligence, and automated policy orchestration systems NEWARK, DE / ACCESS Newswire ...

In the fast-moving digital landscape, where gig workers expect instant payouts and companies handle millions of microtransactions daily, the need for robust real-time fraud detection has never been ...

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, ...