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

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, ...

The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Matt Swann The rise of ...

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

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 ...

Payments risk management has evolved significantly, shifting from simple rules-based systems to sophisticated machine learning (ML) models that enable businesses to better detect and mitigate fraud.

In his recent research, technology thought leader Lakshminarayana Reddy has introduced a state-of-the-art blueprint for addressing the ever-increasing risk of credit card fraud. The objective of his ...

AtData, a leading innovator in email address intelligence and digital trust solutions, is introducing Gibberish Detection, a new machine learning-driven model in its fraud prevention suite that ...

Key market opportunities in the price anomaly detection AI sector include rising adoption of AI and ML technologies, ...