The study, “Conditions of benefits and risks when algorithmic technology is implemented for public sector policing and fraud detection: a systematic literature review,” published in AI & Society, ...

Database engineer Sai Vamsi Kiran Gummadi is advancing real-time fraud detection in finance using machine learning and bi ...

For years, remote customer onboarding relied on a straightforward premise: forging identity documents and biometric evidence is difficult and expensive. If a user provided a government-issued ID and a ...

Abstract: Machine Learning (ML) algorithms are robust in addressing complex challenges, such as detecting financial fraud in real-world scenarios. This research highlights the significance of ML ...

Novobanco has deployed Feedzai’s artificial intelligence platform as part of a multi-year effort to modernize fraud ...

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

At HIMSS 2026, Veratad will also highlight its growing portfolio of AI-enhanced services, including AI-assisted document verification and authenticity analysis, intelligent workflow orchestration and ...

AI has been behind some of the social services abuse uncovered in the state. Officials are using machine learning to sift through thousands of provider claims to uncover crimes.

Background: Fraud is a type of financial crime risk that poses threats to customers and banks. There're multiple typologies within fraud such as authorised and unauthorised digital, payment, credit ...

Abstract: The rapid surge in digital financial transactions has been accompanied by a parallel increase in credit card fraud, underscoring the need for highly accurate and scalable detection systems.