AI AGENTS

SOC2 Quarterly Access Review Reconciliation Agent

Each quarter, an agent reconciles current GitHub access against your authorized-personnel list in Airtable.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly schedule fires
  • ActionPull GitHub access and authorized listGitHubGitHub
  • LogicIdentify unauthorized, over-privileged, orphaned accounts
  • ActionOpen remediation ticket per exceptionLinearLinear
  • OutputWrite signed-off review to evidence pageConfluenceConfluence

What it does

Runs the recurring user-access review that SOC2 requires (CC6.2, CC6.3): confirming that everyone with access is still authorized, and that departed or role-changed people have been removed. It turns the review from a manual spreadsheet exercise into tracked, closed-loop remediation.

When to use it

Use it quarterly. The control fails not when an extra account exists but when you can't show you reviewed and acted on it; this flow produces both the review record and the remediation tickets.

How it works

  1. 1A scheduled trigger fires each quarter.
  2. 2An agent pulls current GitHub org access and the authorized-personnel list from Airtable.
  3. 3A logic step identifies accounts with no matching authorization, accounts whose role exceeds what's approved, and authorized people whose access is missing.
  4. 4For each exception it opens a Linear ticket assigned to the access owner with the specific action required.
  5. 5It writes the signed-off access-review summary, including all exceptions and ticket links, to a dated Confluence evidence page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect ConfluenceSpaces, pages, blueprints.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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