One use for AI in finance is fraud detection. To fight new methods of identity theft, increasingly aggressive fraud detection ...

The paper concludes that Precision and Recall must be the minimum reporting standard, and confusion matrices should always ...

Fraud detection is a constant battle for banking institutions as financial crimes show no signs of abating. Snapping at their ...

AI won’t be just the next big thing in solving fraud; it might be the biggest part of the problem. Fraud-prevention ...

Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

Market opportunities in credit card fraud detection are driven by rising digital transactions, AI/ML adoption, real-time ...

TEHRAN - In a world where nearly every transaction happens online, from mobile banking to e-commerce and digital investments, ...

The most convincing media you see online could be an AI-generated fake. Last May, nefarious marketers used deepfake tech to steal the likenesses of famous people, running ads online and making it ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

Liveness detection is a biometric security feature designed to determine whether the biometric data, such as a facial image, ...