SECOPS

Exposed-Secret Incident Triage and Remediation Agent

An agent-driven workflow that investigates a reported leaked secret end to end, decides revoke-versus-escalate, executes the rotation.

CategorySecOps
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLeaked-secret report webhookHTTP webhook
  • ActionInvestigate secret location and dependentsGitHubGitHub
  • LogicAgent decides revoke vs. escalate by severity
  • ActionExecute rotation or page on-callPagerDutyPagerDuty
  • OutputWrite incident record with timelineNotionNotion

What it does

Drives full incident response for an exposed secret. Given an alert, the agent reasons about the secret's type and reach, picks the right remediation path, performs or delegates the rotation, and produces a documented incident timeline rather than just a notification.

When to use it

Reach for this when revocation needs judgment, not a fixed rule: ambiguous secret types, keys shared across services, or cases where you want a written postmortem-grade record. It is the org-level brain that orchestrates the deterministic rotators below it.

How it works

  1. 1An inbound webhook delivers a leaked-secret report from any scanner or human submitter.
  2. 2The agent queries GitHub to locate the secret, its history, and every dependent reference.
  3. 3A logic step lets the agent decide between automated revocation and PagerDuty escalation based on severity and reach.
  4. 4The agent executes the chosen path: revoke and rotate via provider API, or page on-call.
  5. 5A structured incident record is written to Notion with timeline, blast radius, actions taken, and follow-ups.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  4. 4
    Connect NotionPages, databases, comments.
  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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