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

Forensic analysis has become a cornerstone in the fight against financial fraud, combining accounting, auditing, and investigative skills to uncover and prevent fraudulent activities. As financial ...

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

A new machine learning breakthrough outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

Payment disbursements are a critical component of modern commerce, but they also present a significant challenge: how to prevent fraud. Prateek Mehta, a payments expert and product manager at ...

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

AI-driven fraud detection expert, Omoyeni Ogundipe, has explained how businesses can harness technology to mitigate theft. She spoke at a news briefing, noting AI-driven fraud detection is a tool to ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...

Ever find your palms sweating as you enter your payment info into a merchant site you’ve never used before? It’s a natural response; few financial details are more important than your payment methods ...

Fraud in food delivery platforms is a growing threat, draining restaurant revenue and eroding customer trust. From account takeovers to sophisticated GPS spoofing and device manipulation, fraudsters ...