Fraud detection is a high-stakes game of cat and mouse, with retail businesses continually adapting to outsmart increasingly sophisticated fraudsters. As ecommerce losses from online payment fraud ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

How can artificial intelligence help detect fraud? Artificial Intelligence can play a crucial role in fraud management by detecting and preventing fraudulent activities. The global average rate of ...

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, ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...

Fraudulent activities within the financial services sector have escalated into a significant concern, with projections indicating that online payment fraud could result in losses exceeding $206 ...

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

A surge in digital payment technologies has been paralleled by an equally rapid increase in credit card fraud. This research field explores multifaceted approaches that combine advanced analytics, ...

AI algorithms can analyze transactions in real time, detect anomalies and patterns that may indicate fraudulent activities, and alert banks to take appropriate actions. An example of fraud detection ...

Global banking cooperative SWIFT plans to ring in 2025 by launching AI-enhanced fraud detection capabilities. The new function will give financial institutions more accurate insight into potentially ...