Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...

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

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.

Today’s fast-paced online world is underlined by systems that allow it to move that fast. Whether it’s the latest advancements to transport systems, faster internet connections, or more real-time ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

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

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 ...