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

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

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

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, ...

Explore how AI is transforming risk management in banking, enhancing credit assessments and compliance automation, while ...

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 ...

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, ...

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

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 ...

The Federal Reserve is racing to contain a new kind of systemic risk, one that does not start with bad loans or exotic derivatives but with cloned voices and synthetic faces. After OpenAI leaders ...