Overview:  Model distillation is a machine learning technique that transfers knowledge from a larger, more complex model to a ...

The surge in online transactions across industries such as banking, e-commerce, and digital services has significantly increased vulnerability to cyberattacks. With the growing adoption of digital ...

The Centers for Medicare and Medicaid Services screened 1 billion payments through the Treasury Department’s Do Not Pay system in fiscal 2024 and prevented 363,386 payments worth $2.6 billion, ...

By incentivizing actionable tips with earlier rewards, the Whistleblower Rewards Program will uncover criminal conduct, ...

The machine learning technique FraudGCN analyzes patterns in financial data and corporate relationships to identify and predict fraudulent activities. It uses graph theory and machine learning to ...

DataVisor Inc., a fraud- and risk-management solutions provider, early Monday announced the launch of an artificial intelligence-based platform that measures hot spot, distinct count, and ...

AI/ML-based adaptive fraud analytics leads growth as real-time payments, generative-AI-driven fraud, tighter regulation and vendor consolidation reshape the marketDublin, Oct. 21, 2026 (GLOBE NEWSWIRE ...

With a growing share of insurance executives viewing generative artificial intelligence as a tool for streamlining and improving functions like fraud detection, Deloitte predicts that AI technologies ...

LAS VEGAS--(BUSINESS WIRE)--Extend today at Money20/20 USA announced Extend Verify, a document fraud detection API that helps developers and AI agents assess the integrity of documents before using ...

FICO found that 42% of executives cited data privacy and protection as their biggest adoption barrier. More than 60% of ...

Facing millions of dollars in Web fraud losses, companies cannot rely solely on strong user authentication for online banking, e-commerce and similar sites (as underscored by the Federal Financial ...