AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

In a new report, business leaders aren't confident in security tools, but machine learning is being used to close the gap.

AI has been behind some of the social services abuse uncovered in the state. Officials are using machine learning to sift through thousands of provider claims to uncover crimes.

Deepfake and continuous identity protection programs must therefore be framed not as experimental controls, but as ROI-driven investments.

Brazen fraudsters and Minnesota officials scrambling to stamp out abuse of social services have something unlikely in common: They’re both relying on artificial intelligence to reach their goals.

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.

At HIMSS 2026, Veratad will also highlight its growing portfolio of AI-enhanced services, including AI-assisted document verification and authenticity analysis, intelligent workflow orchestration and ...

DataVisor, the world's leading AI-powered fraud and risk management platform, released its 2026 Fraud & AML Executive Report, revealing an AI Readiness Gap between rising concern over AI-driven fraud ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

The U.S. Department of Health and Human Services will use "advanced" AI tools to more quickly detect Medicare and Medicaid ...

A significant share of risk appears before the first transaction, demonstrating that financial crime is not limited to post-onboarding account takeover (2). This evolving fraud landscape increasingly ...