Tag: NIST AI RMF
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Why Now for AI Governance
Part I: From Board Oversight to Framework Foundations A vivid scenario + why governance of AI matters now The boardroom is blinking to life. The room is familiar – executive chairs, polished oak table, the CEO at the head, the board director faces turned to the projection screen. Your organisation has just piloted a new…
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Why Responsible AI Is No Longer Optional
There is a quiet crisis unfolding in boardrooms and tech teams alike. Artificial intelligence is no longer just a toolkit for improvement, it’s rapidly becoming central to how organisations compete, create value, and interact with the world. Yet, for all its promise, AI’s risks remain widely misunderstood and, too often, left unmanaged. In this moment,…
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NIST AI RMF vs ISO/IEC 42001
From Risk Principles to Auditable Practice Most organisations now realise that AI governance can’t be improvised. Risk registers, codes of conduct, and policy checklists aren’t enough, not when regulators, investors, and auditors are watching. What’s missing is coherence across frameworks. Two standards now dominate that space: the NIST AI Risk Management Framework (AI RMF) and…
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MCP and the Illusion of Control
We’re standardising the cables while the system rewires itself in real time. That’s what it feels like watching the current obsession with Model Context Protocol, or MCP. In 2025, this once-obscure specification has become the centre of attention for AI developers, compliance teams, and safety researchers. It’s been called “USB-C for AI”, a plug-and-play standard…
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Agentic AI governance is now a business imperative
Enterprise AI has moved past assistants that wait for instructions. We are now dealing with systems that can pursue objectives independently, make decisions in real time, and act without being told. These are not chatbots or copilots. These are autonomous agents with the capacity to plan, adapt, and take initiative based on defined goals. In…