Trends such as the increased accessibility of “deepfake” technologies will likely accelerate this year, allowing bad actors ...

In fraud and bot detection, people usually think of fingerprinting as the classic browser or device fingerprint. This comes ...

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 ...

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, ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

Traditional techniques for identifying and countering GenAI-enabled vehicle insurance fraud are notably limited, especially ...

Among the richest signals lenders can use to assess the authenticity of loan applications are artifacts in submitted documents — changes to fonts, say, or digital white-out used to cover and replace 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, ...

Counterfeit or low-quality products—such as olive oil made from dyed rapeseed oil—are often difficult or impossible to ...

With AI technology, payment fraud and fraud prevention have become more complex and sophisticated. Both financial data owners and businesses that accept illegal payments are directly affected by ...