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

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

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. This has been fuelled by the proliferation of technology ranging from ...

Overview: AI-powered fraud detection tools are rapidly being adopted by banks and fintechs to block scams and reduce losses.New platforms combine machine learni ...

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

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.

How can artificial intelligence help detect fraud? Artificial Intelligence can play a crucial role in fraud management by detecting and preventing fraudulent activities. The global average rate of ...

The Federal Reserve is racing to contain a new kind of systemic risk, one that does not start with bad loans or exotic ...

“Fraud detection today is about precision, not just protection. The ability to differentiate legitimate customers from suspicious activity in milliseconds is what separates high-performing businesses ...