Glossary · Compliance concepts
What is AIMS?
Also known as: AI Management System, ISO 42001 AIMS
An AIMS (AI Management System) is the structured set of policies, processes, roles, and controls an organization uses to govern the responsible development and use of artificial intelligence. It is the system that ISO 42001 certifies. An AIMS extends management-system thinking to AI-specific risks like bias, transparency, and oversight.
Key takeaways
- An AIMS is the AI equivalent of an ISMS: a management system that governs how AI is built, deployed, and overseen.
- ISO 42001 is the international standard against which an AIMS is certified.
- It addresses AI-specific concerns such as fairness, transparency, accountability, and human oversight.
- Like an ISMS, it runs on a continual-improvement cycle and centers on documented risk management.
- Its Annex A control set is AI-specific and smaller than ISO 27001's.
What an AIMS is
An AI Management System is the framework of policies, processes, defined responsibilities, and controls that an organization uses to govern artificial intelligence responsibly across its lifecycle, from data sourcing and model development through deployment and monitoring. It applies the same management-system discipline used for information security to the distinct risks that AI introduces.
The AIMS is formalized by ISO 42001, the first international standard for AI management systems. Certification of an organization's AIMS signals that AI governance is systematic rather than ad hoc.
An AIMS does not replace information security governance; it sits alongside it and addresses concerns that are specific to AI, such as model bias, explainability, data provenance, and the need for meaningful human oversight.
How an AIMS differs from an ISMS
Structurally an AIMS mirrors an ISMS: defined scope, leadership commitment, risk-based controls, internal audit, and continual improvement. The difference is the subject matter and the control catalog.
- ISO 42001 defines AI-specific Annex A controls organized around governance objectives
- Risk assessment considers harms to individuals and society, not only the organization
- Controls cover the AI lifecycle: data, model design, testing, deployment, and decommissioning
- Impact assessments for affected people are a distinctive emphasis
Many organizations integrate the two systems so that shared elements, like leadership review and document control, are managed once and applied to both information security and AI governance.
Who owns it and how it is certified
An AIMS is typically owned by a leader responsible for AI governance or risk, working with data science, engineering, legal, and compliance functions. As with any management system, top management must demonstrate commitment and allocate resources.
Certification follows the familiar two-stage audit by an accredited body: a documentation review followed by an audit of how the AIMS operates in practice, then ongoing surveillance. Because ISO 42001 is recent, many organizations are building their first AIMS from scratch.
CATAAM is built to govern and attack-test AI in one place, so the same platform that manages the AIMS can also run adversarial tests against AI systems. Teams already running continuous control monitoring can extend it to AI controls.
Frequently asked questions
- Do I need an AIMS if I already have an ISMS?
- If you build or deploy AI in ways that carry meaningful risk, an AIMS adds governance that an ISMS does not cover, such as bias, explainability, and human oversight. Many organizations integrate the two rather than running them separately.
- Is an AIMS only for companies that build AI models?
- No. Organizations that deploy or significantly rely on third-party AI also benefit, because they still bear responsibility for outcomes, oversight, and the data they feed into those systems.
- How is an AIMS related to the EU AI Act or NIST AI RMF?
- They address overlapping concerns. An ISO 42001 AIMS provides a certifiable management system, while frameworks like the NIST AI Risk Management Framework offer guidance that can inform how the AIMS is designed and operated.
- What makes AI risk assessment different?
- AI risk assessment weighs harms to individuals and society, such as discriminatory outcomes or opaque decisions, alongside risks to the organization, which broadens it beyond a typical security risk assessment.