SECOPS

Daily sweep for leaked keys across logs and revoke matches

On a daily schedule, this workflow scans recent log exports for credential patterns, revokes any matched GitHub tokens, and files findings in a Notion incident register.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires the sweep
  • ActionPull latest log export from S3 and scan for patternsAWS S3
  • LogicFilter to high-confidence GitHub token matches
  • ActionRevoke each matched token in GitHubGitHubGitHub
  • ActionAppend findings to Notion incident registerNotionNotion
  • OutputSend daily found-and-revoked digest to SlackSlack

What it does

Runs a proactive daily sweep instead of waiting for an alert. It scans recent log exports for credential patterns, and for any confirmed GitHub token match it revokes the credential and records the finding in a Notion register so nothing slips through silently.

When to use it

Use this when secrets leak into application logs, debug output, or exported telemetry that secret scanning never sees. A scheduled sweep catches the exposures that live outside your source control.

How it works

  1. 1A daily schedule triggers the sweep.
  2. 2The workflow pulls the latest log export from S3 and scans it for credential patterns.
  3. 3A filter keeps only high-confidence matches that map to known GitHub token formats.
  4. 4For each match it revokes the token in GitHub.
  5. 5It appends a row to a Notion incident register with the source, match, and revocation result.
  6. 6A Slack digest summarizes how many keys were found and revoked that day.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AWS S3Buckets, objects, signed URLs.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect NotionPages, databases, comments.
  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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