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

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 ...

Jul. 28, 2025 / PRZen / SAN FRANCISCO — Bynn Intelligence, the undisputed leader in identity verification and document fraud detection, today announced the strategic acquisition of the Swedish pioneer ...

The most convincing media you see online could be an AI-generated fake. Last May, nefarious marketers used deepfake tech to steal the likenesses of famous people, running ads online and making it ...

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.

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 ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud ...