NIST AI RMF Advisory

The NIST AI Risk Management Framework (AI RMF 1.0, NIST AI 100-1) is a voluntary, outcomes-focused framework for managing AI risk across its lifecycle. It gives boards a practical structure to make AI trustworthy and accountable — complementing the EU AI Act with an operating model risk teams can run. vCyberBoard Advisor helps boards adopt it as a living discipline.

Govern — accountability and culture

The Govern function establishes the policies, roles, risk appetite and oversight that make AI risk manageable. We help boards set who owns AI risk, how it is reported, and the principles that govern where and how AI may be used — the governance backbone the other functions rely on.

Map — context and risk identification

Mapping means understanding each AI system's context, purpose, stakeholders and potential harms before deployment. We help boards inventory use cases, surface blind spots and classify risk so the organisation knows what it is actually exposing itself to.

Measure — assessment and evaluation

Measuring turns identified risks into evidence — testing for validity, reliability, bias, robustness and safety. We help design metrics and evaluation that the board can trust, and report results in decision-ready terms rather than technical noise.

Manage — mitigation and response

Managing is acting on what measurement reveals — deploying controls, guardrails, incident response and kill-switches, and monitoring after release. We help boards oversee risk treatment for AI and agentic systems so mitigation keeps pace with adoption.

Your NIST AI RMF Advisor

Framework adoption, Govern-to-Manage implementation, AI risk reporting and board briefings — independent counsel aligned to the EU AI Act, ISO/IEC 42001 and NIS2 so obligations reinforce rather than duplicate.