Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Divyarani Raghupatruni recently talked banking transformation in 2025 and the future of payments with Banking Exchange ...

Biometric technologies, including face and fingerprint recognition, also strengthen identity verification and reduce exposure ...

Behind the sleek interfaces of modern payment systems lies a fast-moving threat: financial fraud is evolving at a speed ...

Michigan State University Federal Credit Union avoided $2.57 million in fraud exposure through blocking AI deepfake fraud calls with Pinpoint products.

“Fraud detection today is about precision, not just protection. The ability to differentiate legitimate customers from ...

Detectives from the department’s financial crimes unit and members of the U.S. Secret Service found 20 credit card skimming ...

Ultimately, the operation led investigators to 20 credit card skimming devices at multiple convenience stores, discount ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require ...

Discover how credit card validation codes work and protect against fraud. Learn about their placement, security role, and examples to secure online transactions.