Fraud in payments is growing more sophisticated, forcing payment service providers (PSPs) to rethink their defenses. Today’s fraudsters are even leveraging AI tools to scale attacks and evade ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

The surge in digital payments and mobile banking has transformed financial services but it has also expanded the fraud landscape. Traditional, rule-based fraud detection methods are increasingly ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Feedzai, a data science company that uses real-time, machine-based learning to analyze big data to make commerce safe, announced upgrades to its fraud detection service API for developers, which has ...

A review by researchers at Tongji University and the University of Technology Sydney highlights the powerful role of Graph Neural Networks (GNNs) in exposing financial fraud. By revealing intricate ...

Nacha has announced that Oscilar has joined a select group of organizations as a Nacha Preferred Partner for Account Validation, Fraud Monitoring, and Risk and Fraud Prevention. Oscilar’s AI Risk ...