SECOPS

CEO-Triaged Exposed-Secret Response

An agent triages each incoming secret-scanner hit, judges blast radius and key type, drafts a tailored rotation plan.

CategorySecOps
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScanner hit arrives via webhookHTTP webhook
  • ActionAgent gathers repo + commit contextGitHubGitHub
  • LogicClassify severity and blast radiusOpenAI
  • LogicBranch: real exposure vs false positive
  • ActionOpen issue with generated rotation planGitHubGitHub
  • OutputRequest owner acknowledgement in SlackSlack

What it does

Applies judgement to scanner noise. The agent reads the alert in context, estimates how bad the exposure is, decides whether it warrants a full rotation or a downgrade, and writes a specific remediation plan rather than a generic ticket.

When to use it

Use it when scanner hits vary wildly in severity (an expired test token versus a live production database URL) and a flat rule engine over- or under-reacts. The agent decides the response per case.

How it works

  1. 1A scanner hit arrives via inbound webhook with repo, secret type, and commit context.
  2. 2The CEO agent pulls the surrounding file, commit history, and repo metadata from GitHub to assess real blast radius.
  3. 3It classifies severity and drafts a rotation plan with concrete steps for that credential type.
  4. 4A decision branch separates true exposures needing rotation from confirmed false positives or already-dead keys.
  5. 5For true exposures it opens a GitHub issue with the generated plan and requests owner ack in Slack.
  6. 6It records its reasoning and classification so future triage stays consistent.

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 SlackChannels, DMs, threads, mentions.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.