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ISO 27001 Clause 9 Performance Evaluation

Vault note, not reviewed against the source. Written in the knowledge vault on 2026-05-12 by models working with Stefan Coetzee and published as it stands, with private addresses, e-mail addresses and an employer name redacted. Check claims against the primary source before relying on them.

Sub-clause map

  • 9.1 Monitoring, measurement, analysis and evaluation โ€” what to monitor and measure, methods, when, by whom, when results analysed, retain documented information.
  • 9.2 Internal audit
    • 9.2.1 General โ€” internal audits at planned intervals to verify the ISMS conforms to the org's own requirements and to ISO 27001 and is effectively implemented and maintained.
    • 9.2.2 Internal audit programme โ€” plan, establish, implement and maintain audit programmes; define audit criteria and scope per audit; select auditors and conduct audits objectively and impartially; report results; retain documented information of programmes and audit results.
  • 9.3 Management review
    • 9.3.1 General โ€” top management shall review the ISMS at planned intervals.
    • 9.3.2 Management review inputs โ€” eight required input categories.
    • 9.3.3 Management review results โ€” decisions related to continual improvement and any need for changes to the ISMS; retain documented information.

Requirements (reference)

Requirements: ISO/IEC 27001:2022 clause 9, Performance evaluation; text at https://www.iso.org/standard/27001 (licensed, not reproduced here).

Changes from :2013

  • 9.3.2 wording aligned with Annex SL. Sub-items renumbered and slightly expanded (changes in interested-party needs as explicit input added at (c)).
  • 9.2 split into 9.2.1 (general) and 9.2.2 (programme). Annex SL alignment.
  • 9.1 substantively unchanged.

Evidence artefacts an auditor expects

  • Monitoring and measurement plan / register โ€” a table listing each metric: what is measured, why, method, frequency, owner, target, current value, trend, action triggers.
  • Metrics dashboards / reports โ€” actual results, with history. Examples: patch SLA compliance %, phishing click rate, MFA coverage %, vulnerability scan critical findings, mean time to detect, mean time to respond, training completion rate.
  • Internal audit programme document โ€” multi-year plan covering the full ISMS scope across the cycle (typically all clauses and all Annex A controls within three years), with risk-weighted audit frequency.
  • Internal audit plans per audit โ€” scope, criteria, auditor name, dates, sampling approach.
  • Internal audit reports โ€” findings categorized (major nonconformity / minor nonconformity / observation / opportunity for improvement), with evidence references.
  • Auditor independence evidence โ€” auditor did not audit their own work; external internal auditor used where in-house auditors lack scope independence.
  • Management review schedule and minutes โ€” annual minimum, ideally semi-annual. Minutes capture the nine input categories explicitly and the resulting decisions.
  • Management review decision tracking โ€” actions assigned, owner, target date, status. Closure tracked back to next review.

Typical audit observations

  • Metrics that nobody reads. Dashboard exists but no evidence anyone uses the data to make decisions. Cl 9.1.f finding.
  • Metrics that measure activity, not effectiveness. "We ran 12 phishing exercises" โ€” but trend in click rate not tracked. Cl 9.1.b finding.
  • Internal audit scope incomplete over the cycle. Three-year programme covers most clauses but skips Annex A.7 (physical) because "everyone is remote." Auditor probes: are remote endpoints in scope of A.7? If yes, finding.
  • Internal auditor not independent. Engineering manager audits their own team. Cl 9.2.2.c finding.
  • External internal auditor without skills. Contracted internal-audit firm sends junior auditors with no AI-system context. Audit reports are surface-level; certification auditor probes the depth.
  • Management review is a status meeting. Minutes show project updates, no engagement with the nine required inputs. Cl 9.3.2 finding.
  • Action items from prior reviews not closed. Same items appearing across three management reviews. Cl 9.3.3 + Cl 10.2 (corrective action effectiveness) findings.

Common implementation gaps

  • Measurement plan โ‰  security telemetry. Operational telemetry (CPU, latency, error rate) is not the same as ISMS metrics (MFA coverage, training completion, control effectiveness). Both useful; both needed. Cl 9.1 expects the latter explicitly.
  • Internal audit as compliance ceremony. Pre-cert internal audit run by the cert prep consultant who finds nothing โ€” and the cert auditor finds plenty. Independence and competence in the internal auditor are load-bearing.
  • Management review timed for the audit. Held annually one month before recertification audit. Cl 9.3.1 requires "planned intervals" โ€” typically interpreted as at minimum annually; semi-annual or quarterly is better practice for fast-moving environments.
  • Decisions, not just discussions. Cl 9.3.3 requires decisions captured. Minutes that summarize discussion without listing decisions fail this.

SRE and AI-agent fit notes

  • Metrics for AI-system control effectiveness. Examples:
    • Agent action audit log completeness (% of agent decisions with full input + output captured).
    • Prompt-injection test coverage (% of agent endpoints subjected to recent injection tests).
    • Tool-scope review cadence (% of agents with tool scope reviewed in last 90 days).
    • Vendor TOS version currency (model providers using TOS version matching SoA reference).
    • Model version drift (% of production endpoints on the SoA-referenced model version).
    • Human-in-the-loop override rate (frequency of human reversal of agent decisions, with trend).
  • Internal audit for AI controls. Until ISO 42001 audit competence matures, internal audit teams typically lack the technical depth to substantively audit AI-system controls. Options: train an internal auditor on AI-system security; bring in a specialist external internal auditor on a project basis; explicitly note the gap in management review and accept the residual risk.
  • Management review inputs from AI operations. Add:
    • Trend in agent incidents and near-misses.
    • Trend in vendor-side model behavior changes.
    • Status of AI risk register (alongside main risk register).
    • Status of ISO 42001 alignment work if relevant.
    • Threat intelligence specific to AI / agent ecosystem.
  • Management review cadence pressure. AI ecosystem changes faster than the typical annual / semi-annual ISMS review. Either accept the lag and document the residual risk, or run a more frequent technical review feeding summarised input into the formal management review.

Stefan-context implementation sketch

  • Metrics: small, focused set. Examples: vault PII boundary violations (target zero), vendor API key age (target <90 days), agent audit-log retention (target 12 months, current value tracked monthly), federation peer trust attestation freshness, vault staleness percentage from KNOWLEDGE-FRAMEWORK.md thresholds.
  • Internal audit: self-audit cycle for personal infra (lightweight); client-engagement audit triggered by contract.
  • Management review: quarterly self-review at minimum, captured as a vault atom with the nine input categories.
  • Independence concern: solo work has no internal-independence; treat client-side review or pre-certification consultant audit as the impartial third party.

See also

From the knowledge vault, pillars/iso-27001/ISO 27001 Clause 9 Performance Evaluation.md. Built from scripts/docs by build_docs.py.