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 ...

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

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 ...

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 ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

TransUnion LLC has introduced a major upgrade to its Device Risk fraud-detection platform, adding new capabilities designed to improve device recognition, identify anomalies and apply adaptive machine ...

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.

Research predicted that hacks and data breaches will cost the global economy over $9.5 trillion by the end of 2024. This comes as fraud attempts and phishing attacks are increasing and getting more ...

RIZAL Commercial Banking Corporation (RCBC) has strengthened its fraud detection and cyber risk management systems as ...

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