From Detection To Intelligence: how digital finance is reshaping fraud risk and compliance through behavioural insights, ...

Fraud detection already relies heavily on non-financial signals such as IP address, device fingerprinting, geolocation and behavioural biometrics. When linked with AML monitoring, these signals become ...

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

Massachusetts is among the worst states in the country in fraud detection, an expert says, as several public benefits fraud ...

By standardizing evaluations and detecting AI-assisted interviews, SageScreen reduces bias and strengthens integrity at ...

With the April 2026 deadline approaching, insurers are expected to accelerate investments in digital fraud detection systems and cross-industry data sharing platforms as the sector transitions towards ...

AI agents are emerging as powerful financial tools, capable of analyzing data, managing investments, and executing transactions with minimal human in ...

One of Latin America’s largest identity and fraud infrastructure providers has implemented DuckDuckGoose’s real-time deepfake detection technology.

Canadians are increasingly treating every unexpected message as a potential scam, according to new research from RBC that underscores growing anxiety around fraud and the impact of artificial ...

HealthEquity reports 90%+ reduction in voice fraud after deploying real-time AI fraud detection and passive authentication ...

Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...

More and more voices are speaking up about the extraordinary gains they’re seeing from AI in writing code. The latest comes from ...