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Comparison Guide

AI Governance Frameworks:
What's Required and What's Ahead

Four frameworks. Four different approaches. One shared goal: making AI safe, transparent, and accountable. Compare NIST AI RMF, ISO 42001, the EU AI Act, and OWASP — and find out which apply to your organization.

Quick Answer

AI governance frameworks guide how organizations manage AI risks and meet regulatory requirements. The four major frameworks each serve a distinct purpose: NIST AI RMF provides a risk management process, ISO 42001 offers a certifiable management system, the EU AI Act imposes legal obligations (with full enforcement starting August 2026), and OWASP delivers technical security guidance for developers. Most organizations need two or three — one governance backbone, plus applicable regulations, plus technical implementation guidance.

The Four Major AI Governance Frameworks

Each framework serves a different role. Click through to compare their scope, requirements, and how they work together.

NIST AI Risk Management Framework

National Institute of Standards and Technology (U.S.)
Published
January 26, 2023
Type
Voluntary standard
Scope
AI risk management for organizations of any size, sector, or geography

Overview

The NIST AI RMF provides a voluntary, non-sector-specific framework for managing AI risks throughout the system lifecycle. It organizes risk management around four core functions — Govern, Map, Measure, and Manage — and emphasizes that AI risk management should be integrated into existing organizational risk frameworks rather than treated as a standalone activity.

Key Elements

Govern: Cultivate a culture of AI risk management at the organizational level
Map: Establish context to frame risks related to AI systems
Measure: Use quantitative and qualitative tools to analyze and track AI risks
Manage: Allocate resources to respond to mapped and measured risks on an ongoing basis

Who It Applies To

Any organization developing, deploying, or procuring AI systems. Widely adopted as a reference by U.S. federal agencies and increasingly referenced in procurement requirements.

Enforcement

Voluntary — no legal enforcement. However, the White House Executive Order on AI (October 2023) directs federal agencies to use the AI RMF, and NIST SP 800-53 controls can make it de facto required for federal contractors.

Which Frameworks Apply to You?

Answer three questions and we will tell you which frameworks are required, recommended, or worth understanding for your organization.

How the Frameworks Fit Together

Each framework addresses a different layer of AI governance. NIST and ISO provide the process backbone, the EU AI Act sets the legal requirements, and OWASP guides technical implementation.

YourOrganizationNIST AI RMFGovern / Map / Measure / ManageISO/IEC 42001Certifiable AIMSPlan-Do-Check-ActEU AI ActLegal RequirementsRisk-Based: 4 TiersOWASP Top 10 for LLMTechnical Implementation GuidanceInforms governance processProvides structureSets legal obligationsDrives technical controlsShield Covers All

Side-by-Side Comparison

At a glance: how each framework stacks up across key dimensions.

DimensionAI RMF 1.0ISO 42001EU AI ActOWASP LLM Top 10
TypeVoluntary standardInternational standardRegulationIndustry guidance
PublishedJan 26, 2023Dec 18, 2023Aug 1, 2024 (in force)v1.1 (2023/24)
Mandatory?VoluntaryVoluntaryLegally binding in EUVoluntary
Certifiable?NoYes (ISO cert.)No (conformity assessment)No
Geographic ScopeGlobal (voluntary)Global (voluntary)EU / EEA (extraterritorial)Global (voluntary)
Primary AudienceRisk managers, execsCompliance, auditorsLegal, complianceDevelopers, security eng.
Penalties for Non-ComplianceNoneNone (unless contractual)Up to EUR 35M or 7% of turnoverNone

Governance frameworks set the bar. Shield helps you clear it.

Every framework requires data protection and audit trails. Shield runs locally on your machine, redacts sensitive data before it reaches AI providers, and produces tamper-evident logs for your compliance evidence package.

Continue Reading

AI Security Maturity Model — Assess Your Organization

Map your AI security posture across 5 dimensions: governance, visibility, data protection, threat detection, and compliance.

Enterprise Compliance: SOC 2, HIPAA, GDPR and ISO 27001 for AI

Understand how traditional compliance frameworks intersect with AI governance requirements.

AI Security Policy Generator

Generate customized AI security policies based on the governance frameworks that apply to your organization.

Frequently Asked Questions

Start with the framework that aligns with your regulatory obligations. If you operate in or serve the EU, the EU AI Act is legally required and has an August 2026 deadline. If you are a U.S. federal contractor, the NIST AI RMF is referenced in procurement requirements. If you are seeking certification to demonstrate AI maturity, ISO 42001 provides an auditable path. For technical teams, the OWASP Top 10 for LLM is the most immediately actionable — it tells your developers what to secure today while your governance program matures.

Yes — they complement rather than compete. NIST AI RMF provides the risk management process (Govern, Map, Measure, Manage). ISO 42001 provides the certifiable management system structure. The EU AI Act provides the legal requirements that the other frameworks help you meet. And OWASP provides the technical implementation guidance. Organizations often use NIST or ISO as their governance backbone, map EU AI Act requirements onto those structures, and use OWASP for developer-level security controls.

As of August 2, 2026, the full set of EU AI Act obligations applies to high-risk AI systems. Organizations that fail to comply face administrative fines: up to EUR 35 million or 7% of global annual turnover for prohibited practices, and up to EUR 15 million or 3% for most other violations. Enforcement is handled by national market surveillance authorities in each EU member state. The Act also has extraterritorial reach — non-EU companies whose AI systems affect people in the EU are subject to the same requirements and penalties.

No, the NIST AI RMF is voluntary for the private sector. However, the White House Executive Order on AI (October 2023) directs federal agencies to use the AI RMF, and NIST SP 800-53 security controls apply to federal information systems. In practice, this means many federal contractors and organizations doing business with the U.S. government are expected to align with the AI RMF as a condition of their contracts. Even without a legal mandate, the AI RMF is widely referenced in industry standards, insurance underwriting, and procurement questionnaires.

Shield addresses the data protection and security control requirements that appear in every AI governance framework. Under NIST AI RMFs Measure function, Shield provides audit logging that tracks what data was redacted and when. For ISO 42001, Shields tamper-evident audit trail supports the monitoring and performance evaluation requirements. For the EU AI Act, Shields local redaction of personal data before prompts reach AI providers supports data minimization and privacy-by-design principles. For OWASP, Shield directly addresses LLM01 (Prompt Injection), LLM06 (Sensitive Information Disclosure), and LLM08 (Excessive Agency) by inspecting prompts, redacting secrets, and enforcing gateway policies.

Most organizations need two or three. If you are in the EU or serve EU users: EU AI Act (mandatory) + NIST AI RMF or ISO 42001 (for implementation structure) + OWASP (for technical controls). If you are a U.S. company: NIST AI RMF (for governance process) + OWASP (for technical controls), with ISO 42001 if you seek certification. The key insight: pick one governance framework (NIST or ISO), layer the applicable regulation on top (EU AI Act if relevant), and use OWASP as your technical implementation guide. They are designed to work together.

Last updated: July 26, 2026