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AI governance, risk & compliance: 7 tools compared

AI governance, risk and compliance platforms keep an inventory of the AI systems you run, run risk assessments and approvals, manage policies and collect audit evidence. When an auditor asks which AI systems you run and who approved them, the answer has to come with that evidence. They support compliance work; they do not make an organization compliant on their own.

  • 7 tools
  • Last reviewed
Compare the tools How we score

Part of layer 1 in our AI security layers: Governance and risk.

Executive summary

What it is
Platforms that keep a register of AI systems with owners and purposes, run risk assessments and approvals, manage AI policies and collect evidence against frameworks such as the NIST AI RMF and ISO/IEC 42001.
The risk
Without a register, nobody can show which AI systems are in use, who approved them or what risks were assessed. That gap surfaces during an audit, a customer security review or a regulatory inquiry.
What to buy or do
Name an owner for the AI register first. Then shortlist platforms by the frameworks they say they support, in their own words, and by whether they import inventory from your discovery tools. Involve legal counsel.

Quick picks

The highest Coverage Scores in this category. The score measures what each vendor documents publicly; it is not an endorsement and it does not measure detection quality.

Holistic AI

Holistic AI

Commercial
  • SaaS

A commercial platform that finds AI systems, tests their risk and maps controls to regulations.

Best for: Enterprises that want AI discovery, automated testing and regulation mapping in one governance platform, including a private single-tenant cloud option

Coverage Score 55 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency
  • LLM09 Misinformation

Reviewed

Credo AI

Credo AI

Commercial
  • SaaS
  • Self-hosted

A commercial AI governance platform for AI inventory, risk assessment and policy mapping to regulations.

Best for: Enterprises that want one system of record for AI use cases, vendors and policy packs, with a self-hosted option for private environments

Coverage Score 54 out of 100
  • LLM06 Excessive Agency

Reviewed

AI Verify

AI Verify Foundation

Open sourceApache-2.0
  • Self-hosted

An open-source toolkit that runs fairness, explainability and robustness tests and builds reports.

Best for: Teams that want a free, self-hosted toolkit to test tabular or image classification and regression models and produce an assessment report

Coverage Score 47 out of 100 None mapped

Reviewed

All 7 governance tools

Sorted by Coverage Score within the category. Tools cross-listed from another category carry an "Also covers" label.

Also covers layer
Type
Deployment
OWASP risk
Pricing model

Showing 7 of 7 tools

AI governance, risk & compliance: 7 tools compared
Tool Type Deployment Pricing model OWASP risks Coverage Score Last reviewed
Holistic AIHolistic AI Commercial
  • SaaS
 Not published
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency
  • LLM09 Misinformation
 55 out of 100
Credo AICredo AI Commercial
  • SaaS
  • Self-hosted
 Not published
  • LLM06 Excessive Agency
 54 out of 100
AI VerifyAI Verify Foundation Open sourceApache-2.0
  • Self-hosted
 Free None mapped 47 out of 100
OneTrust AI GovernanceOneTrust Commercial
  • SaaS
 Contact sales
  • LLM02 Sensitive Information Disclosure
  • LLM06 Excessive Agency
 46 out of 100
SaidotSaidot Commercial
  • SaaS
 Not published
  • LLM06 Excessive Agency
 42 out of 100
watsonx.governanceIBM Commercial
  • SaaS
  • Self-hosted
 Paid None mapped 36 out of 100
ModelOp CenterModelOp Commercial
  • On-prem
  • Self-hosted
 Not published
  • LLM01 Prompt Injection
  • LLM10 Unbounded Consumption
 33 out of 100

OWASP LLM risks we weigh in this category

Risk coverage is 25 of 100 Coverage Score points. A tool earns them only for risks mapped to a capability the sources document.

How to choose

A governance platform should show which AI systems you run, the risks of each, who approved it and where the evidence sits. This page is not legal advice.

Setup

  • List the frameworks you report against. Common ones are the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act. Check which of them each vendor says it supports, in the vendor's own words.
  • Decide who will use it. Legal and compliance, data science and security teams need different views of the same system.
  • Choose the risks. We weigh LLM02, LLM04, LLM06 and LLM09 in this category.

Integration

  • Find out where the inventory comes from: discovery by the platform itself, import from other tools or manual entry. Automated discovery across clouds belongs to the discovery and posture layer, and a platform that imports from it saves re-entry.
  • Match the workflow (risk assessments, approvals, policy management, evidence collection) to how your teams already work.
  • Decide whether you need model monitoring or only documentation. Fairness and bias evaluations sit in the testing and red teaming layer, even when a governance platform runs them.

Limits

Framework support is what the vendor states, not a result. A template for a framework does not mean you meet its requirements, and some obligations depend on an independent audit or on your own processes. Microsoft's ISO/IEC 42001 page, for example, says customers who use its certified AI services are still responsible for engaging an assessor to evaluate their own controls. Ask each vendor for its documentation, and involve legal counsel for regulatory questions.

Governance FAQ

What does an AI governance platform do?

It keeps an inventory of AI systems, supports risk assessments and approvals, manages policies and collects evidence for audits. Features vary widely, so check the capabilities listed on each tool page.

Does a governance platform make us compliant?

No. A platform helps you organize inventory, assessments and evidence. Compliance depends on your own processes and, in some cases, on an independent audit. Ask legal counsel what applies to your organization.

What is the NIST AI Risk Management Framework?

It is a framework NIST released as version 1.0 on January 26, 2023 to help organizations manage the risks AI poses to individuals, organizations and society. It is intended for voluntary use and is organized around four functions: Govern, Map, Measure and Manage.

What is ISO/IEC 42001?

It is an international standard that specifies requirements for establishing, implementing, maintaining and continually improving an AI management system inside an organization. It is a management-system standard, not a technical test of a model.

When does the EU AI Act apply?

It applies in stages, with separate dates for prohibitions, general-purpose AI obligations and high-risk rules, and some dates have moved since the Act was adopted. Our glossary entry for the EU AI Act gives the dates as the European Commission stated them; confirm current dates with the Commission and counsel.

Which OWASP risks do governance platforms cover?

In our scoring they are weighed on LLM02, LLM04, LLM06 and LLM09. The mapping on each tool page is our analysis and cites a documented capability.

Sources & last reviewed

Last reviewed . We compile from the vendors' own public pages and repositories and we do not run the products. Source links open in a new tab. Found a mistake? Report a correction.

Holistic AI (3 sources)
Credo AI (2 sources)
AI Verify (4 sources)
OneTrust AI Governance (3 sources)
Saidot (4 sources)
IBM watsonx.governance (2 sources)
ModelOp Center (2 sources)

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