SECOPS

Agent-driven leaked-secret triage and guided rotation

An agent investigates a flagged leaked secret across repos and services, decides the safest rotation order, executes the rotation.

CategorySecOps
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFlagged-secret event received
  • ActionAgent searches GitHub for all usagesGitHubGitHub
  • LogicAgent reasons about safe rotation order
  • ActionRotate Vercel value and revoke old keyVercelVercel
  • ActionOpen Linear incident with narrativeLinearLinear
  • OutputRequest sign-off in SlackSlack

What it does

Gives a security agent a flagged credential and lets it do the judgment work a junior responder would: figure out where the secret is used, what depends on it, the right order to rotate without causing an outage, then carry out the rotation across GitHub and Vercel and write up a clear incident report for review.

When to use it

Use this for secrets that are not a clean one-to-one rotation, where blindly swapping a value could break dependent services. The agent reasons about blast radius before acting, which a deterministic pipeline cannot.

How it works

  1. 1A flagged-secret event starts the agent with the credential fingerprint and source.
  2. 2The agent searches GitHub for every reference and reconstructs where the key is consumed.
  3. 3It reasons about dependencies and proposes a safe rotation sequence.
  4. 4It rotates the value in Vercel and revokes the old credential, staging changes to avoid breaking live traffic.
  5. 5It opens a Linear incident with its findings, the rotation order it used, and residual risk.
  6. 6It posts a human-readable summary to Slack requesting sign-off on the closed incident.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect VercelDeploys, runtime logs, analytics.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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