A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

S Krishnan emphasizes the need for the Global South to influence AI governance to ensure equitable standards reflecting their ...

When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...

The most successful AI initiatives are those that balance innovation with accountability, embedding governance and readiness into every stage of the transformation.

Armor, a global leader in cloud-native managed detection and response and Microsoft Solutions Partner for Security, today ...

With generative artificial intelligence (AI) technologies entering nearly every aspect of human life, it has become ever more urgent for organizations to develop AI systems that are trustworthy and ...

Over recent years, cybersecurity executives have been tasked with an almost impossible Challenge: reduce headcount, accelerate transformation, integrate artificial intelligence, meet regulatory ...

India's AI framework proposes a layered, lifecycle approach. But how will it work in practice, and what challenges does it ...

AI governance cannot live solely within IT. It requires cross-functional oversight. Many institutions are creating AI ...