ISO 27001 Use Case

ISO 27001 AI Controls

ISO 27001 programs need evidence that information security controls are defined, operated, monitored, and reviewable. TrustableClaw helps teams govern AI workflows with approval gates, tamper-evident receipts, and exportable records that support ISO 27001 control evidence.

What is ISO 27001 AI Controls?

TrustableClaw supports ISO 27001 AI control evidence by recording governed AI actions, approvals, policy decisions, receipt hashes, and audit trails that reviewers can inspect.

Why this matters for AI governance

The compliance problem

AI agents can touch source code, customer data, internal documents, and security-sensitive workflows. ISO 27001 teams need a way to show that these AI-assisted actions were controlled, logged, and reviewable.

The proof record

TrustableClaw creates proof-ready records for AI work so security and compliance teams can show what happened, when it happened, whether approval was required, and whether the record was changed.

Evidence TrustableClaw helps create

Governed AI activity

Security teams need evidence that AI-assisted actions are controlled rather than invisible or unmanaged.

TrustableClaw places sensitive AI actions behind policy and approval gates and records decisions in an audit trail.

Audit logging

Reviewers need logs that show security-relevant activity and support investigation or control testing.

TrustableClaw records AI events in a tamper-evident ledger with receipt IDs, hashes, timestamps, and verification data.

Change and access-sensitive work

AI tools may assist with code, documents, system changes, or sensitive internal workflows that require oversight.

TrustableClaw can require approvals for risky actions and preserve evidence of the review decision.

Evidence review

ISO 27001 programs need retrievable evidence for internal reviews, management review, and external audits.

TrustableClaw helps export receipts, approval records, and audit evidence for compliance review.

How TrustableClaw helps

Approval gates for sensitive AI actions

Require human review before an AI agent performs sensitive work. The approval decision becomes part of the evidence record.

Tamper-evident receipts

Generate cryptographic proof records that help reviewers check whether an AI action record still matches the stored proof.

Control evidence exports

Collect AI-related evidence for control review, risk assessment, internal audit, or external audit preparation.

Implementation steps

1

Define AI governance scope

Identify which AI workflows touch security-sensitive systems, customer data, code, or internal control processes.

2

Turn on approval gates

Configure TrustableClaw so sensitive AI actions require explicit human approval before execution.

3

Collect tamper-evident records

Use receipts and the audit ledger to preserve evidence of AI activity, approvals, timestamps, and proof hashes.

4

Review and export evidence

Export proof-ready evidence for ISO 27001 control review and auditor discussions.

Frequently asked questions

Does TrustableClaw certify ISO 27001 compliance?

No. TrustableClaw helps collect and organize AI governance evidence that can support ISO 27001 control review, but certification decisions belong to qualified auditors and certification bodies.

Why does ISO 27001 matter for AI agents?

AI agents may affect information security by accessing data, writing code, changing workflows, or making recommendations. Those actions should be governed, logged, and reviewable.

Important compliance note

TrustableClaw helps generate and organize ISO 27001 control evidence for AI workflows. It does not replace an ISO 27001 auditor, certification body, legal advisor, or information security management system.

Make AI work reviewable and proof-ready

Download TrustableClaw and start creating governed AI records, approval trails, receipts, and compliance evidence.