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.

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

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.

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 ...

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

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 ...

Fraudsters collaborate, but most banks still detect fraud alone. This imbalance has defined fraud prevention for years. Now ...

Fraud starts earlier than most teams model. Many fraud programs still centre transaction monitoring, but attackers can gain a meaningful advantage earlier, at account creation and ...