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

Bank fraud has risen 70% in a year, costing $5.8 billion, prompting banks to adopt AI for enhanced fraud detection.

In today’s rapidly evolving digital landscape, fraud and financial crime have become increasingly complex and create pervasive issues ...

Introduction Generative AI (GenAI) has rapidly shifted from a futuristic concept to a core driver of transformation in ...

Fraudulent applications present a significant risk to a businesses’ success and reputation. As criminals become more sophisticated in targeting credit cards, loans, current accounts and other ...

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 ...

Technology is advancing at an unprecedented rate, and terms like “machine learning”, “deep learning”, and “neural networks” ...

80% of fraud specialists using AI-based platforms believe the technology helps reduce payments fraud. 63.6% of financial institutions that use AI believe it is capable of preventing fraud before it ...

Stu Bradley is vice president of fraud and security intelligence at SAS. We hear it all the time: Fraud prevention is hard because fraudsters continually change and adapt. The minute you figure out ...

Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...