Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

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

“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 ...

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

AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...

In an increasingly digital financial landscape, fraud is evolving in both scale and complexity. Financial institutions from global banks to nimble fin-techs face constant threats ranging from payment ...

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between machine precision and human judgment.

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 ...

With AI technology, payment fraud and fraud prevention have become more complex and sophisticated. Both financial data owners and businesses that accept illegal payments are directly affected by ...

Mastercard is using AI to help detect and prevent credit card fraud. The company says the tech can flag unusual patterns and block fraudulent transactions. This article is part of "AI in Action," a ...

Fraud, waste and abuse (FWA) schemes like unnecessary genetic testing, fake Covid-19 testing and inappropriate billing of behavioral health services continue to plague the healthcare industry — and ...