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ISO 27001 for AI Agents

Practical ISO 27001 guide for teams shipping AI agents: who's affected, what controls map to which provisions, and how to collect evidence.

Last updated 25 May 2026

ISO/IEC 27001 Information Security Management, issued by International Organization for Standardization, applies to organizations seeking formal isms certification. This page covers what affects AI agent teams specifically and how to map controls to it.

*Source: official ISO 27001 reference. This page is practical guidance — confirm interpretation with your counsel.*

Key dates

Certification; 3-year cycle with annual surveillance audits

Key provisions for AI agents

  • Annex A controls (93 controls in 2022 revision)
  • Risk-based approach to ISMS
  • Continuous improvement requirement
  • Documented information across lifecycle

Who is affected

Organizations seeking formal ISMS certification

How Prefactor addresses it

ProvisionWhat it requiresHow Prefactor addresses it
Risk managementContinuous risk management process across agent lifecycleEval suites, drift detection, policy versioning, tamper-evident logs, approval flows
Record-keepingAutomatic logging that enables traceabilityEval suites, drift detection, policy versioning, tamper-evident logs, approval flows
Human oversightEffective human intervention and overrideEval suites, drift detection, policy versioning, tamper-evident logs, approval flows
Accuracy and robustnessPerformance, robustness, attack resilienceEval suites, drift detection, policy versioning, tamper-evident logs, approval flows
Post-market monitoringContinuous performance monitoring in productionEval suites, drift detection, policy versioning, tamper-evident logs, approval flows
TransparencyDocumentation and information for deployersEval suites, drift detection, policy versioning, tamper-evident logs, approval flows

Evidence collection

Auditors and reviewers typically expect:

  • Continuous, dated evidence — not point-in-time snapshots
  • Override and intervention records — proof humans actually retained control
  • Eval results tied to specific agent versions
  • Risk decisions tied to changes
  • Incident records, even minor ones
  • Plain-language documentation

Common gaps in ISO 27001 for AI agents

1. Logs not tamper-evident — application database isn't audit evidence.

2. Human oversight is theoretical — system allows override but nobody uses it.

3. Post-market monitoring is reactive — only investigated when something breaks.

4. No change management — prompts edited in production with no record.

5. Retrieval corpus not in scope of data governance — only training data is considered.

Implementation timeline

30 days: Inventory agents in scope. Begin technical documentation. Enable comprehensive tamper-evident logging.

90 days: Operate risk management. Stand up human oversight. Establish post-market monitoring cadence. First self-assessment.

180 days: Complete documentation. Pre-conformity review. Incident reporting workflow. Full readiness.

FAQ

Does using a 'compliant' provider make us compliant? No. Deployers have independent obligations under most frameworks.

Can Prefactor make us compliant? Prefactor provides the technical and operational layer. Full compliance requires legal, organizational, and product decisions too.

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