SECOPS

Agent-Driven Secret Triage and Disposition

When a secret is detected in a push, an agent investigates whether the key is live, who owns it, and where it is used.

CategorySecOps
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerGitHub push delivers candidate secretGitHubGitHub
  • ActionAgent validates liveness and gathers ownership contextHTTP webhook
  • LogicRoute on agent disposition: dismiss or confirm
  • ActionQuarantine commit and fire rotation webhookGitHubGitHub
  • OutputDocument evidence and reasoning in LinearLinearLinear

What it does

This workflow puts an investigating agent between detection and action. Instead of a fixed rule deciding what to do, the agent gathers context — is the token still valid, what service owns it, is it a test fixture — and chooses the right disposition, cutting false-positive noise while still acting fast on real leaks.

When to use it

Use it on busy repos where naive scanners generate too many false alarms (example keys in docs, expired tokens) and a human would otherwise burn time triaging each one. The agent does that triage and only escalates genuine exposures.

How it works

  1. 1A GitHub push event delivers the candidate secret match to the agent.
  2. 2The agent calls a validation webhook to test whether the credential is live and queries the GitHub API for surrounding context and ownership.
  3. 3A logic branch routes on the agent's disposition: dismiss as false positive, or confirm exposure.
  4. 4On confirmation, an action moves the commit to a quarantine branch and fires the rotation webhook.
  5. 5The agent writes a Linear ticket capturing the evidence, its reasoning, and the disposition as the final record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect HTTP webhookTrigger any URL on agent actions.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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