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

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

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

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

While technology seems to be streaking through today’s society at break-neck speeds, a surprising number of organizations ...

Financial institutions have to lead with strong cyber defenses. That means robust security systems, including layers of ...

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 ...

Credit Scoring and Lending: AI algorithms can analyze a wider range of data points, including alternative data sources, to assess creditworthiness. This allows for more accurate risk assessment, ...

The bigger issue isn’t fraud. It’s behaviour. We call this the “age of entitlement.” Customers now expect refunds to land as ...

The latest addition to the company's ad protection suite gives brands new control over fraud and performance data. The post Invalid traffic detection gets smarter with HUMAN’s Page Intelligence ...

Artificial Intelligence (AI) is revolutionizing the financial industry at a pace never seen before. From algorithmic trading ...