Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback disputes were still managed manual ...

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.

Fraud has become one of the quiet forces shaping access to credit and financial opportunity. As digital systems scale, bad actors adapt quickly, often faster th ...

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 ...

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, ...

How do we trust AI? Know how blockchain ensures AI data integrity, prevents data poisoning, and creates immutable audit ...

Although AI has introduced a new threat in the world of payments fraud, it has also emerged as the analytical backbone of next-generation fraud mitigation systems.

Read more about Artificial intelligence boosts financial forecasting accuracy in banking sector on Devdiscourse ...