Attest Your AI Governance
Against the NIST AI Framework
Independent evaluation of your AI governance and risk controls aligned with the NIST AI Risk Management Framework to strengthen trust, reliability, and enterprise readiness.
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WHAT IS AN AI NIST RMF Attestation
A structured, independent assessment of your AI systems and governance framework against the NIST AI Risk Management Framework (Govern, Map, Measure, Manage).
The NIST AI RMF Assessment evaluates how your organization identifies, measures, mitigates, and monitors AI-related risks, including bias, robustness, security, explainability, accountability, and operational oversight. The outcome is a detailed maturity analysis, risk exposure mapping, and a prioritized roadmap to strengthen responsible AI governance in line with U.S. best practices and global expectations.
UNLOCK THE BENEFITS OF AN AI NIST RMF ATTESTATION
Strengthen AI risk governance
Implement a structured, lifecycle-based approach to identifying and managing AI risks.
Enhance enterprise trust
Demonstrate alignment with a globally recognized U.S. framework adopted by regulators, enterprises, and federal agencies.
Reduce operational and reputational risk
Identify vulnerabilities related to bias, model robustness, transparency, and oversight before they escalate.
Improve internal accountability
Clarify governance roles, ownership structures, and monitoring mechanisms.
Support cross-border credibility
Align U.S.-based risk management practices with international AI governance standards.
Prepare for procurement and due diligence
Provide documented evidence of AI risk maturity to clients, partners, and investors.
ROADMAP TO AN AI NIST RMF ATTESTATION
Scoping & Governance Mapping
Define assessment perimeter and map organizational AI governance structures and lifecycle processes.
Risk Identification & Mapping
Evaluate how AI risks are identified and categorized across use cases and system types.
Measurement & Control Evaluation
Assess risk measurement methodologies, testing procedures, monitoring controls, and documentation practices.
Gap Analysis & Maturity Report
Deliver maturity scoring, risk exposure analysis, and attestation letter.
Commitment to Excellence
We operate as an accredited, independent assurance body, delivering certifications and audits that regulators, investors, and boards trust.
Accreditation
Accredited as Conformity Assessment Body for AI Management Systems by ANAB (United States) and in the process for UKAS (United Kingdom) and ENAC (Spain - EU).
Credentials
Our team is qualified by leading international organisations for training and certification in AI, data and privacy governance.
Memberships
Member of IAPP, INCITS, UKAI and signatory to the EU AI Pact.
FREQUENTLY ASKED QUESTIONS
Everything You Need to Know About NIST AI RMF
What is the NIST AI Risk Management Framework?
The NIST AI Risk Management Framework (AI RMF) is a voluntary framework developed by the United States National Institute of Standards and Technology to guide organizations in managing risks associated with artificial intelligence throughout its lifecycle. The framework is structured around four core functions: Govern, Map, Measure, and Manage. It provides practical guidance for systematically identifying, assessing, and mitigating AI risks, and is widely recognized as a reference in the US market and across organizations with global operations.
Is the NIST AI RMF a certifiable standard?
No. The NIST AI RMF is not a certifiable standard. There is no NIST AI RMF certificate issued by certification bodies. It is a guidance framework that organizations adopt voluntarily to structure their AI risk management. The assessment Zertia conducts measures the degree of alignment and maturity of the organization against the framework's functions and principles, providing a clear picture of the current position and areas for improvement.
Who should carry out a NIST AI RMF alignment assessment?
Organizations that develop or deploy AI systems operating in the US market, that collaborate with US federal agencies, that need to demonstrate AI risk governance to US-based investors or partners, or that want to structure their AI governance program on an internationally recognized framework. It is also relevant for organizations outside the United States that operate in markets where the NIST AI RMF is used as a best practice reference.
How long does the assessment process take?
The standard timeline is approximately four weeks, depending on the scope, the number of AI systems assessed, and the operational complexity of the organization. Organizations with multiple AI systems or distributed operations across several jurisdictions may require a longer timeline.
What documentation is required?
The assessment requires access to internal AI governance policies, an inventory of AI systems, technical documentation for the models, risk management procedures, human oversight controls, post-deployment monitoring mechanisms, and any prior evidence of impact assessments or internal audits conducted.
What results are delivered?
A structured report that includes a maturity assessment against the four NIST AI RMF functions (Govern, Map, Measure, Manage), identification of control gaps, a risk prioritization matrix, and an actionable AI governance improvement roadmap with recommended timelines. The report is an auditable document that can be presented to regulators, investors, or procurement teams.
How does the NIST AI RMF assessment relate to ISO/IEC 42001?
The NIST AI RMF and ISO/IEC 42001 certification are complementary. The NIST AI RMF provides detailed guidance on AI risk management, while ISO/IEC 42001 provides the certifiable management system framework to operationalize that governance. Organizations that first carry out the NIST AI RMF alignment assessment can use the results to strengthen the risk management dimension within their AI management system under ISO/IEC 42001. Zertia offers both services and can design an engagement covering both assessments in an integrated manner.
Is it useful for regulatory defensibility in the United States?
Yes. In the absence of a comprehensive federal AI law in the United States, the NIST AI RMF has established itself as the primary AI governance reference for organizations operating in the US market. Having a documented NIST AI RMF alignment assessment provides evidence of structured AI risk management, which is relevant to federal and state regulators, in investor due diligence processes, and as a demonstration of good practice against state AI laws coming into force in states such as Colorado, California, and New York.
What is the difference between the NIST AI RMF and the NIST Cybersecurity Framework?
The NIST Cybersecurity Framework (CSF) focuses on cybersecurity risk management. The NIST AI RMF focuses specifically on risks associated with artificial intelligence, including algorithmic bias, transparency, explainability, human oversight, and training data governance. Both frameworks are complementary, and many organizations implement them together to cover both security risks and AI-specific risks.
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