Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...

A digital twin is an exact virtual copy of a real-world system. Built using real-time data, they provide a platform to test, simulate, and optimize the performance of their physical counterpart. In ...

Calvin Hennick is a freelance journalist who specializes in business and technology writing. He is a contributor to the CDW family of technology magazines. Until just a few years ago, the U.S. Air ...

Data quality and interoperability become critical enablers. Agentic systems rely on timely, accurate information from across the enterprise. Siloed data and incompatible platforms limit their ...