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ISO 42001 compliance

Inventory the AI systems you run, write the controls that govern how each is built, tested, and retired, and keep the evidence current as your models change.

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Governance that keeps pace with your models

Stand up an AI Management System and keep it current as your models and ISO 42001 itself evolve.

AI system inventory

Register every AI system in scope, from models you train to third-party services you call, with an owner, a purpose, and the data it touches.

  • Owner and purpose on each system
  • Third-party AI services alongside your own

AI impact and risk assessment

Record the risk each system carries, score it by impact and likelihood, and keep the treatment decision on the same register as the rest of your program.

  • Impact-and-likelihood scoring
  • Treatment decisions kept with their rationale

Controls in your own language

Write the controls that govern how a model is built, tested, deployed, and retired. Adapt them as your systems and the standard change without waiting for a template update.

  • Custom controls and subcontrols
  • Mapped to ISO 27001 where the two overlap

Model lifecycle evidence

Attach design records, validation results, and monitoring output to the control each one demonstrates, with a renewal date so stale evidence surfaces before an audit does.

  • Evidence tied to the control it demonstrates
  • Renewal dates on every artifact

Roles and accountability

Give each AI system and each control a named owner. Access is layered by organization, group, program, and object, so the people governing a model can act on it without becoming administrators.

  • Named owner on every system and control
  • Auditor access (read-only role)

Policies and reviews

Start from AI policy templates covering responsible use and AI risk, link each one to the controls it supports, and run recurring attestation and review campaigns to keep them current.

  • AI policy templates
  • Recurring attestations and reviews
Part of Compliance

Govern the models you already run

Inventory the AI systems in scope and attach the risk and controls around each one.

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Frequently asked questions

ISO 42001 basics

What is ISO 42001 compliance?

ISO/IEC 42001:2023 compliance means an organization runs an AI Management System (AIMS) that governs how AI systems are designed, deployed, monitored, and improved in a responsible, risk-based way. It addresses AI risks such as bias, misuse, safety, transparency, and accountability across the AI lifecycle.

What is the difference between ISO 27001 and ISO 42001?

ISO 42001 governs how AI systems are used responsibly and safely; ISO 27001 governs how information and systems are protected from unauthorized access, loss, or misuse. Many organizations run both, since a secure environment is a precondition for trustworthy AI, and the two share management-system structure and many controls.

Who needs ISO 42001 compliance?

Any organization that develops, deploys, operates, or depends on AI systems: AI and SaaS companies, companies embedding AI into products or decision-making, and organizations in regulated industries where AI risk and transparency matter to customers or regulators.

Timeline and process

How long does ISO 42001 certification take?

The timeline depends on the number and complexity of AI systems in scope, how much of the program already exists, and whether you already run a related management system such as ISO 27001. The path runs through gap assessment, AIMS implementation, an internal audit, management review, and the certification body's Stage 1 and Stage 2 audits.

What is an ISO 42001 certification?

ISO 42001 certification is issued by an accredited certification body after it audits your AI Management System against the standard and confirms it meets the requirements. Certificates run on a three-year cycle with annual surveillance audits.

What evidence is required for ISO 42001?

Evidence typically includes AI policies and documentation, an AI system inventory and risk assessment, AI impact assessments, records of model design and validation, and records of training, internal audit, and management review.

Openlane for ISO 42001

How does Openlane help with ISO 42001 compliance?

Openlane gives your AI Management System one operating record: the systems in scope, the risk each one carries, and the controls that govern them, all connected. When an auditor asks how a model is governed, the evidence is already tied to the control that demonstrates it.

How is Openlane different from Vanta or Drata?

AI governance is still taking shape, so the controls that satisfy ISO 42001 keep moving. Openlane lets you write controls in your own language and adapt them as your models and the standard evolve, and because it's open source you can see how every control works, extend it, and run it wherever your AI systems live. Compare current framework support with each vendor directly.

Can Openlane help maintain compliance between audits?

Openlane keeps each AI control tied to its evidence and its renewal date, so governance holds up between audits rather than being rebuilt for each ISO 42001 review. As your AI systems change, the system inventory, the risks, and the controls around them change on the same record.

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