SECOPS

CEO Agent Leaked-Secret Blast-Radius Triage

When a secret leak alert arrives, an agent investigates where the credential is used, drafts a blast-radius and rotation plan, and routes it to the right owners for approval.

CategorySecOps
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLeak alert webhook arrivesHTTP webhook
  • ActionSearch repos for credential referencesGitHubGitHub
  • LogicAssess blast radius and draft rotation plan
  • ActionPublish incident analysis pageConfluenceConfluence
  • OutputRoute plan to owners for approvalSlack

What it does

Turns a raw leak alert into a reasoned response plan. An agent pulls context from code search, recent access logs, and the affected service's ownership, then writes a blast-radius assessment and a concrete rotation sequence rather than just firing a generic alarm.

When to use it

Use it for leaks where the right action is not obvious: a shared service credential, a key with unknown scope, or a secret that may be referenced across many repos. The agent does the investigation a senior engineer would do first.

How it works

  1. 1An inbound webhook delivers the leak alert with the credential identifier.
  2. 2The agent searches GitHub across repos to find every reference to the credential.
  3. 3It queries recent usage to estimate what the key touched and who owns those services.
  4. 4It reasons over the findings to produce a blast-radius assessment and an ordered rotation plan.
  5. 5It opens a Confluence incident page documenting the analysis and proposed steps.
  6. 6It posts the plan to Slack tagging the owning team for go/no-go approval.

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 ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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