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

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 ...

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

At this year’s Credit Scoring and Credit Control Conference in Edinburgh, colleagues Ben Archer and Peter Szocs presented on a topic gaining significant attention: how federated learning can support ...

TEL AVIV, Israel & BOSTON--(BUSINESS WIRE)--Transmit Security's Blinded by the Agent research reveals a coming crisis: consumer AI agents are defeating traditional fraud detection. Enterprises are ...

The UN Convention against Transnational Organized Crime (UNTOC) criminalizes any serious crime, including fraud, that is transnational, committed by an organized crime group and punishable by a ...

Explore how modular data lakes transform fraud detection and SaaS. Specialist Tanvi Kopardekar discusses data automation, cost savings, and retail insights.

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

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 ...

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