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.

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.

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

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

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 ...

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

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

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 ...

PLTR stock rebounds 12% in a month as AI platform demand, strong revenue growth, and expanding margins strengthen the company ...

The applications and systems that software developers use on a daily basis are evolving as AI quickly becomes integrated into workflows. At the same time, the number of AI-native apps optimized for ...