QMet provides professional support for adopting the NIST Artificial Intelligence Risk Management Framework (AI RMF).
The NIST AI RMF is a voluntary framework developed by the U.S. National Institute of Standards and Technology to help organizations manage risks to individuals, organizations, and society associated with AI. It is organized around four functions: Govern, Map, Measure, and Manage. QMet assists organizations in assessing their current practices against the framework and building a practical, repeatable approach to trustworthy and secure AI, including generative AI.
QMet helps organizations establish the policies, processes, roles, and culture needed for effective AI risk management in line with the Govern function of the NIST AI RMF. We support defining accountability, risk tolerance, oversight structures, and third-party AI governance, so that AI risk management is integrated into enterprise risk management and decision-making.
Contact UsThe Map function establishes the context in which AI systems operate. QMet assists organizations in documenting intended purposes, stakeholders, data sources, dependencies, and potential impacts for each AI system. We help identify risks and harms across the AI lifecycle, including those linked to third-party models and data, creating a clear picture of where AI risk sits in the organization.
Contact UsBased on the context and risks identified, QMet supports the measurement of AI risks through structured analysis and testing. We help organizations define metrics and evaluation methods for trustworthiness characteristics such as validity, reliability, safety, security, resilience, transparency, explainability, privacy, and fairness. Where relevant, we support security testing of AI systems, including generative AI, so that risks are tracked using evidence rather than assumptions.
Contact UsQMet helps organizations prioritize and treat AI risks through practical controls, incident response procedures, and ongoing monitoring. We support defining risk treatment plans, decommissioning and change management processes, and regular reviews of AI systems in operation. Results feed back into governance, so the AI risk management approach continues to improve as AI systems, threats, and regulations evolve.
Contact Us| NIST AI RMF | ISO/IEC 42001 | |
|---|---|---|
| Type | Voluntary risk management framework | International management system standard |
| Main focus | Identifying, measuring, and managing AI risk | Establishing a formal AI management system |
| Approach | Flexible, lifecycle-based guidance | Structured, policy-driven requirements |
| Certification | Not certifiable | Certifiable through accredited bodies |
| Best for | Practical AI risk visibility and control | Formal governance and audit readiness |
QMet’s NIST AI RMF support helps organizations reduce AI risk, build trust in their AI systems, and prepare for the standards and regulations shaping AI governance, so AI can be adopted with confidence.
Spot, assess, and manage risks at every stage, from design and development to deployment and day-to-day monitoring.
Build confidence among customers, partners, and regulators by addressing security, privacy, bias, and governance concerns openly.
Prepare for ISO 42001, the EU AI Act, and other emerging requirements with practices that can be reused across frameworks.
See where your AI risks and trade-offs sit, so leaders can approve, scale, or pause AI initiatives with the right information.
Put defined roles, responsibilities, and review routines in place, so AI risk has an owner and nothing falls between teams.
Scale AI faster while protecting critical assets, with the right controls in place from the start.
Talk to QMet about assessing your current practices against the NIST AI RMF.