SaaS company builds AI risk framework before Series B
Investors required documented AI risk management. Built comprehensive risk framework aligned with NIST AI RMF and EU AI Act in 5 weeks.
NIST AI RMF AUDIT
Audit Your AI Systems Against the NIST AI RMF.
Audit Your AI Systems Against the NIST AI RMF.
Prove Responsible AI Governance.
Independent conformity assessments aligned with the NIST AI Risk Management Framework that reduce regulatory exposure, limit liability, and give regulators, clients, and investors the evidence they need to trust your AI.
Speak with our experts.
WHAT IS A NIST AI RMF AUDIT?
A NIST AI RMF Audit is an independent assessment that evaluates whether your AI systems are governed in alignment with the NIST AI Risk Management Framework, turning risk exposure into structured, auditable evidence.
A NIST AI RMF Audit is conducted against the four core functions of the framework: Govern, Map, Measure, and Manage. It evaluates whether your organization has established the governance structures, risk identification processes, measurement mechanisms, and operational controls required to manage AI risk responsibly. The audit independently verifies whether those structures are operative, not just documented.
UNLOCK THE BENEFITS OF A NIST AI RMF AUDIT
Federal Compliance
Compliance you can demonstrate to federal agencies
Audit evidence satisfies NIST AI RMF alignment requirements for federal procurement and contractor qualification. Externally verified, not self-declared.
Risk Reduction
Reduced exposure to regulatory and legal risk
An audit identifies governance gaps before regulators, procurement teams, or legal counterparties do. That difference matters when contracts, licenses, or liability are on the table.
Enterprise Trust
Trust signal for enterprise clients
Large US corporations and regulated industries require evidence of AI risk management before signing contracts. An accredited audit report removes that barrier.
Investor Assurance
Investor and board assurance
An independent audit gives boards and investors a credible, structured view of how your AI systems are governed and controlled against the primary US AI governance standard.
Clarity
Clarity on where real risk lives
Audit findings reveal where governance documentation disconnects from actual system behavior across the Govern, Map, Measure, and Manage functions. That gap is where liability sits.
Defensibility
A defensible position before any investigation
If a regulator, federal agency, or client asks how your AI risk is managed, an accredited third-party audit aligned with NIST AI RMF is the answer that holds.
ROADMAP TO A NIST AI RMF AUDIT
Week 1
Phase 1
Scope & Context Definition
Define the audit boundary, the AI systems in scope, their intended use, and the applicable NIST AI RMF profile. Identify relevant sector-specific guidance and regulatory context.
Weeks 1–2
Phase 2
Govern Function Review
Assess organizational governance structures, AI risk policies, accountability frameworks, and oversight mechanisms against the Govern function requirements of the NIST AI RMF.
Weeks 2–3
Phase 3
Map & Measure Function Review
Evaluate risk identification processes, impact assessments, AI system categorization, and measurement mechanisms. Assess whether risks are identified, analyzed, and tracked with adequate rigor.
Weeks 3–4
Phase 4
Manage Function & Control Effectiveness Testing
Evaluate implementation of risk treatment controls, monitoring processes, incident response procedures, and operational governance through interviews and evidence review.
Weeks 4–5
Phase 5
Non-Conformity Analysis
Identify and classify findings against NIST AI RMF core functions and subcategories. Distinguish between gaps in documentation, gaps in implementation, and gaps in operational effectiveness.
Weeks 5–6
Phase 6
Audit Report & Remediation Roadmap
Deliver a structured audit report with findings mapped to NIST AI RMF functions and subcategories, root cause analysis, and a prioritized remediation roadmap.
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.
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CASE STUDIES
FREQUENTLY ASKED QUESTIONS
What is a NIST AI RMF audit?
An independent assessment that evaluates whether your AI systems are governed in alignment with the NIST AI Risk Management Framework. The output is a structured audit report you can present to federal agencies, enterprise clients, investors, and regulators.
Who needs a NIST AI RMF audit?
Any organization developing or deploying AI systems in the US market, particularly those selling to federal agencies, operating in regulated sectors, or subject to enterprise procurement requirements that include AI governance criteria.
What does a NIST AI RMF audit cover?
The four core functions of the framework: Govern, Map, Measure, and Manage. The audit evaluates whether governance structures, risk identification processes, measurement mechanisms, and operational controls are operative, not just documented.
Is NIST AI RMF compliance mandatory?
NIST AI RMF is a voluntary framework, but alignment is increasingly required by federal procurement rules, state-level AI regulations, and enterprise clients. For organizations selling to the US federal government or operating in regulated sectors, independent alignment evidence is effectively mandatory.
How does a NIST AI RMF audit relate to the EU AI Act?
Both frameworks address AI risk governance but from different regulatory angles. NIST AI RMF is the primary US reference; the EU AI Act is binding regulation in Europe. Organizations operating across both jurisdictions benefit from an audit that addresses both frameworks simultaneously. Zertia's accreditation covers both.
How long does a NIST AI RMF audit take?
A single system audit typically takes between four and six weeks from scoping to report delivery. Complexity, number of systems, and documentation readiness affect the timeline.
Why does accreditation matter when choosing a NIST AI RMF audit provider?
Accreditation means the body has been independently evaluated for technical competence and impartiality. An audit report from an ANAB-accredited body carries weight with federal agencies, enterprise procurement teams, and investors that unaccredited assessments do not.
Does a NIST AI RMF audit support ISO 42001 certification?
Yes. NIST AI RMF and ISO/IEC 42001 share significant structural overlap. An audit aligned with NIST AI RMF builds the governance foundation and evidence base that accelerates ISO 42001 certification readiness.
Your fast track to compliance starts here
Our team is ready to support your compliance, cybersecurity, and privacy needs. Complete the contact form or reach out to [email protected], and our experts will guide you through the next steps.