Before retiring from his post at NIST, Rodney Petersen spoke with FNN about the evolution of cyber workforce efforts over the last decade.

AI regulation and risk governance have evolved from niche concerns to board-level priorities in under three years.

More than ever, building and maintaining trust, the bedrock of every business, succeeds or fails based on how data is handled ...

Cloud modernization, API-first architectures, distributed work, hybrid environments, and AI systems all rely on secure, ...

Emails and Excel are still the primary drivers of the $5 trillion retail industry, in the U.S. alone. The opportunity for ...

The Agentic AI Governance Assurance & Trust Engine (AAGATE) translates the high-level functions of NIST AI RMF into a living, Kubernetes-native architecture.

New CSA research shows mature AI governance accelerates responsible AI adoption, boosts security confidence, and enables agentic AI at scale.

In a rapidly evolving digital landscape, the integration of Artificial Intelligence (AI) into various sectors continues to transform industries. However, ...

Artificial intelligence is no longer a niche tool. It sits inside core workflows, decision systems, and customer experiences. For boards in South Africa and beyond, that raises a key question: who on ...

The Cybersecurity and Infrastructure Security Agency (CISA) has released version 2.0 of its Cross-Sector Cybersecurity ...