SOC 2 evidence

What SOC 2 evidence should teams keep for AI coding agents?

When AI-assisted work can affect software delivery, the evidence should show ownership, change control, access path, approval, validation, and outcome. The useful artifact is not a prompt log. It is the action path behind the change.

Last updated: May 16, 2026

For most audit and customer reviews, the practical issue is not whether the evidence has an “AI agent” label. It is whether AI-assisted engineering changes can be tied to existing control themes: change management, logical access, production deployment, monitoring, and incident readiness.

Evidence to retain

Change control

Repo, branch, PR, requester, reviewer, workflow file, job, validation, and merge or release decision.

Access control

Agent or workflow identity, credential source, token scope, service account, inherited permission, and owner.

Approval

Who approved a credentialed or production-adjacent action, what policy applied, and why it was allowed.

Outcome

Job result, deployment result, target system, validation evidence, retained logs, and remaining gap.

Map evidence to common audit asks

Audit or customer ask AI-assisted delivery evidence
Was the change reviewed and approved? PR review, workflow owner, approval reason, policy decision, timestamp.
Was privileged access controlled? Credential source, token scope, service account owner, environment protection, revocation path.
Was deployment or release controlled? CI job, deploy target, required reviewer, validation output, release result.
Can the team investigate later? Retained logs, actor/session context, target system, outcome, and incident traceability.

What is not enough

A list of approved AI tools is not enough. A model inventory is not enough. A prompt log is not enough. For software delivery controls, the useful evidence is whether an AI-assisted path could write, deploy, use credentials, publish, or touch production, and whether the action was reviewed and provable.

Evidence packet shape

human owner -> agent workflow -> repo/PR -> CI/CD -> credential -> action -> target -> approval -> outcome evidence

This packet helps engineering and security answer customer questionnaires, audit requests, and incident reviews without reconstructing the path from chat history, PR comments, CI logs, and credential systems after the fact.

Prepare evidence before the questionnaire arrives.

Clyra maps selected AI-assisted delivery paths and returns a redacted evidence packet your engineering and security reviewers can use.

Map one workflow