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

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Gibberish Detection analyzes the text of an email address to classify the likelihood of randomness or automation using ...

Ravelin, a machine learning fraud detection company based in London, has raised approximately $3.7 million (£3M) in funding to support its growing global client base. The finance round was led by ...

A surge in digital payment technologies has been paralleled by an equally rapid increase in credit card fraud. This research field explores multifaceted approaches that combine advanced analytics, ...

When customers are targeted directly in scams that are invisible to a bank, artificial intelligence, and in some cases generative AI, can play a role in fighting the fraud, experts say. Last week, New ...

Quick Summary Looking to detect and prevent financial and digital fraud more effectively? Discover the 7 best fraud detection systems for enterprises in 2025 that leverage advanced analytics, machine ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...