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

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

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

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 ...

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 ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a culture of transparency, can help organizations detect fraud in a broader ...

An AI model has been developed under government leadership to preemptively detect jeonse fraud before the contract signing stage. The government plans to discuss measures to develop it into an actual ...

IIMs are offering free online courses in 2026 via the SWAYAM portal, covering AI, Machine Learning, Blockchain, Sales, and ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...