These findings challenge the assumption that oversampling techniques like SMOTE inherently improve fraud detection outcomes.

NEW YORK, July 28, 2025--Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Patriot Federal Credit Union has selected its platform to enhance real-time fraud ...

The Nilson Report, which tracks the card industry, says payment-card fraud resulted in $33 billion in losses worldwide in 2022 and $13.6 billion in losses in the US.

Mastercard is using AI to help detect and prevent credit card fraud. The company says the tech can flag unusual patterns and block fraudulent transactions. This article is part of " AI in Action ...

The gains anticipated from this collaboration come at a critical time in the payments industry, with a new report finding fraud is expected to cost businesses and their customers more than $40 ...

AI And ML Fraud Detection Let’s start with the way AI deals with payment fraud. Merchant losses are projected to reach $38 billion in 2023, driven by credit card fraud, phishing, chargebacks and ...

This research field explores multifaceted approaches that combine advanced analytics, machine learning and network-based methods to both detect and prevent fraudulent credit card transactions.

Credit card fraud detection involves various tools to verify transactions, techniques to authenticate cardholders and technologies, such as statistical analysis and machine learning, to monitor ...