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

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 ...

Hybrid AI bridges this gap by combining adaptable analytics with immediate expert rules. This makes it the only approach that enables institutions to deliver fast, secure, and compliant payments and, ...

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

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 ...

Understand what Machine Learning is, how it works, and its three main types, along with some real-life examples.

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 ...

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 ...