SECOPS

Chat-Driven Exposed-Secret Blast-Radius Triage

An operator pastes a leaked secret into chat and the CEO agent identifies what it unlocks, maps every service that uses it, drafts a revocation-and-rotation plan.

CategorySecOps
Enginepaperclip
Difficultyadvanced
Triggerchat
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator pastes suspect secret into CEO chat
  • LogicClassify credential and reason about scope
  • ActionMap blast radius from Postgres consumer registryPostgreSQLPostgres
  • ActionFile revocation tracking issue in GitHubGitHubGitHub
  • OutputOpen coordination thread and summarize in SlackSlack

What it does

Gives a responder a conversational front door to a leak. Paste a suspect credential and the agent figures out what kind of secret it is, what it can access, which of your services depend on it, and what the safe revoke-and-rotate sequence is, then executes the bookkeeping once you approve.

When to use it

Use it in the first minutes of a suspected exposure when you are not yet sure of the blast radius and need a fast, reasoned assessment plus a ready-to-run plan rather than a rigid automated revoke.

How it works

  1. 1An operator sends the suspect secret and context into the CEO chat.
  2. 2The agent classifies the credential and reasons about its likely scope and access.
  3. 3The agent queries Postgres for services registered against that credential to map the blast radius.
  4. 4It drafts an ordered revocation-and-rotation plan and presents it for approval.
  5. 5On approval, it files a tracking issue in GitHub and opens a coordination thread in Slack.
  6. 6The agent summarizes the blast radius, plan, and created artifacts back in chat.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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.

Run this workflow in your colony.

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