SECOPS

Leaked Cloud Key Quarantine and Revoke Pipeline

On a scanner hit for an exposed AWS access key, it snapshots the offending object to a forensics bucket, requests revocation, and tracks owner confirmation in Slack before…

CategorySecOps
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGitHub flags exposed cloud access keyGitHubGitHub
  • ActionWrite forensic record to quarantine bucketAWS S3
  • LogicBranch: key still active?
  • ActionOpen owner-assigned revocation issueGitHubGitHub
  • ActionDM owner and await rotation confirmationSlack
  • OutputPost closure summary to secops channelSlack

What it does

Handles the specific case of a leaked cloud access key with a containment-first posture. Rather than just notifying, it preserves evidence and drives the key toward revocation while keeping the human owner explicitly in the loop.

When to use it

Use it when long-lived cloud keys occasionally leak into repos, logs, or pasted configs, and you need a repeatable revoke-and-evidence workflow instead of ad-hoc console clicking.

How it works

  1. 1A GitHub secret scanning alert fires for a detected cloud access key.
  2. 2The flow writes a forensic record (alert payload, commit, detected key fingerprint) to a dedicated quarantine bucket in AWS S3 for audit retention.
  3. 3A branch checks whether the key is still active versus already disabled by the provider.
  4. 4If active, it opens a revocation tracking issue in GitHub assigned to the key owner with revoke instructions.
  5. 5It DMs the owner in Slack and waits for an explicit confirmation reply that the key was rotated.
  6. 6On confirmation it posts a closure summary to the secops channel with a link to the forensic record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect AWS S3Buckets, objects, signed URLs.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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