Mastercard is developing a generative AI model using anonymised transaction data for fraud detection, payment insights and cybersecurity.

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, ...

TrafficGuard, a platform in AI-powered digital ad verification and invalid traffic (IVT) prevention, has appointed Scott ...

Novobanco has deployed Feedzai’s artificial intelligence platform as part of a multi-year effort to modernize fraud ...

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 ...

A nonprofit has launched the first open source platform aimed at delivering sophisticated anti-fraud capabilities to financial systems in Africa as well as parts of Asia and the Middle East. The ...

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 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, ...

In August, German banks froze over €10 billion in PayPal payments due to suspected fraud, a disruption that underscored the scale of growing financial security concerns. If even long-standing, trusted ...

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 ...

TransUnion LLC has introduced a major upgrade to its Device Risk fraud-detection platform, adding new capabilities designed to improve device recognition, identify anomalies and apply adaptive machine ...