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 ...

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 ...

Get the latest federal technology news delivered to your inbox. The Department of Homeland Security is accelerating its use cases for artificial intelligence technologies in select agency operations, ...

NetSPI, the global leader in offensive security, today debuted its ML/AI Pentesting solution to bring a more holistic and proactive approach to safeguarding machine learning model implementations. The ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The National Institute of Standards and Technology (NIST) has released an ...

Introduction In today’s digital ecosystem, every connection is a double-edged sword expanding both capability and ...

A recent study conducted by computer scientists from the National Institute of Standards and Technology (NIST) and their collaborators has exposed the vulnerability of artificial intelligence (AI) and ...

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 the enterprise. Siloed data and incompatible platforms limit their ...