AI AGENTS

SOC2 Change-Management Drift Detector

Whenever a GitHub repository's branch-protection or required-review settings change, it captures the before/after, evaluates it against your change-management policy.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGitHub branch-protection change webhookGitHubGitHub
  • ActionRead new config and prior baselineGitHubGitHub
  • LogicClassify change vs. change-management policy
  • ActionWrite change record to evidence registerAirtableAirtable
  • OutputPage on-call if a guardrail weakenedPagerDutyPagerDuty

What it does

Monitors the integrity of your SOC2 change-management controls (CC8.1) in real time. If someone disables required pull-request reviews, drops required status checks, or removes branch protection on a protected repo, this flow catches it immediately rather than at audit time.

When to use it

Use it on every repository that ships production code. It is the difference between proving "all changes were peer-reviewed" and discovering a six-month gap where protections were quietly turned off.

How it works

  1. 1A GitHub webhook fires on repository or branch-protection rule changes.
  2. 2The flow reads the new protection configuration and the prior known-good baseline.
  3. 3A logic step classifies the change as compliant, a benign tightening, or a weakening of a required guardrail.
  4. 4Every change, regardless of severity, is written to Airtable as a dated change-management evidence record.
  5. 5If a guardrail was weakened, it escalates a PagerDuty incident to the security on-call with the diff.

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 PagerDutyIncidents, on-call, escalations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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