In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.

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 ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a culture of transparency, can help organizations detect fraud in a broader ...

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, ...

The latest voice deepfake detection software added to the Zoom Marketplace is zero-shot tech from OmniSpeech, which seeks ...

Spotting financial statement fraud is crucial. Learn key signs and detection methods to protect your investments from risky ...

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, ...

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 ...

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 ...

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