The final guidance for defending against adversarial machine learning offers specific solutions for different attacks, but warns current mitigation is still developing. NIST Cyber Defense The final ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...

The National Institute of Standards and Technology (NIST) has published its final report on adversarial machine learning (AML), offering a comprehensive taxonomy and shared terminology to help ...

The Department of Homeland Security is finding uses for artificial intelligence in some agency operations, particularly in countering nefarious uses of it. “Our intention at DHS is to lead and to lead ...

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 ...

Data quality and interoperability become critical enablers. Agentic systems rely on timely, accurate information from across ...