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, ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

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

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

Discover how the Luhn Algorithm verifies credit card accuracy, supports secure transactions, and helps prevent errors in inputting Social Security numbers.

You may not be asking for more credit—but your bank’s systems could be giving it to you anyway. New research from King’s Business School and the Federal Reserve Board suggests that a largely unseen ...

Two-year-old Tofu is using AI to cross-reference social media profiles and verify applicant’s identity. A new partnership ...

Researchers from BI Norwegian Business School and NHH Norwegian School of Economics have developed a new behavioral credit-risk model that integrates credit and debit transactions. The model ...

FLAGLER COUNTY, Fla. (WKRC) - An EMT who was accused of recording himself molesting an unconscious patient in an ambulance also faces charges for allegedly stealing credit card information from ...

Each holiday season, as transaction volumes rise, so does fraud volume. This season, it comes in the form of everything from automated, AI-driven credential stuffing to organized gift card theft. The ...