Digital financial services have now emerged as the operational backbone of small and medium-sized enterprises (SMEs). However, this has also exposed the organizations to an increasingly sophisticated ...

A new academic study argues that fraud detection systems must evolve beyond accuracy-focused prediction tools into ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

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

There’s a lot of buzz surrounding machine learning and Deep Learning in particular. In this video presentation, Venkatatesh Ramanathan, talks about PayPal-Fraud Detection with H2O Deep Learning. He ...

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 ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

In recent years, while artificial intelligence has empowered lenders to enhance their businesses, it has also provided fraudsters with sophisticated tools to perpetrate financial fraud. One of the ...

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

Discover the 7 best fraud detection systems for enterprises in 2025. Learn about their features, pricing, and how they help combat digital and identity fraud in the ever-evolving threat landscape.

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, ...