The UK financial sector has moved from AI experimentation to embedding it in core operations, spanning fraud detection to regulatory monitoring. However, institutions are finding that AI performance ...

A new paper from a group of researchers at the Darmstadt University of Applied Sciences shows a way to prevent these cheap ...

Cybersecurity threats are evolving faster than the defenses built to stop them. Account takeovers, phishing attacks, and ...

New data points to persistent fraud sources alongside record ad-level enforcement. TOKYO, JP / ACCESS Newswire / April ...

Abstract: The rise of electronic payment systems has made credit cards increasingly popular, leading to a growing number of fraudulent transactions. Rapid and accurate detection of these fraudulent ...

Op-ed: In a moment of renewed municipal progressivism, the democratization of urban technology is one of the most overlooked ...

The rapid advancement of generative artificial intelligence (GenAI) has significantly enhanced the efficiency of content ...

Australia to contract a biometric liveness detection capability to support the country’s national digital ID and protect it ...

For decades, the insurance industry moved at its own deliberate pace - a world of actuarial tables, paper applications, and ...

Every bank runs models. Credit scoring models. Fraud detection models. Customer risk models. AML transaction monitoring ...

Deep Algorithm, an AI-powered cybersecurity startup, has raised Rs 16 crore in a pre-Series A funding round led by Unicorn ...

Fraud prevention and user experience don't have to be a tradeoff. IPQS shows how combining identity, device, and network ...