Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

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 ...

As criminal organizations expand their use of information technology, the frequency of global financial fraud rises to historic levels each year, posing significant challenges for governments and the ...

Mastercard is using AI to help detect and prevent credit card fraud. The company says the tech can flag unusual patterns and block fraudulent transactions. This article is part of "AI in Action," a ...

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, ...

If we compare the insurance industry to the human body, sales would be the heart pumping blood, while claims management would function as the immune system. Without a proper response from the immune ...

Payment Service Providers (PSPs) need fraud detection systems that can anticipate and adapt to emerging types of fraud whilst maintaining the delicate balance between security and customer experience.

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 ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

When the text message came in, Kim Dow's heart sank. "Hi," it read. "Did you just make this purchase with your REI Co-op Mastercard?" The message went on to share the last four digits of Dow's card ...