SECOPS

Archive revoked IAM grant evidence to S3 for audit

After any IAM grant is revoked, this workflow assembles a tamper-evident evidence bundle, archives it to a write-once S3 bucket.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook: grant revocation completedHTTP webhook
  • LogicAssemble evidence bundle
  • ActionArchive to write-once S3 bucketAWS S3
  • ActionCreate Confluence case pageConfluenceConfluence
  • OutputPost case confirmation to SlackSlack

What it does

Whenever an IAM grant is revoked — by automation or a human — this workflow captures the full evidence package: the original grant event, the actor, the revoking decision, approvals, and timestamps. It writes the bundle to a write-once S3 bucket for immutable retention and logs a summary case page in Confluence so auditors can trace every privileged-access action end to end.

When to use it

Use this when you need defensible records of privileged-access changes for SOC 2, ISO 27001, or incident post-mortems. It turns scattered logs into a single auditable artifact per revocation, with the raw evidence preserved and the human-readable summary searchable.

How it works

  1. 1A webhook fires when a grant revocation completes and triggers the run.
  2. 2A logic step assembles the evidence bundle from the event, actor, decision, and approval trail.
  3. 3The bundle is written to a write-once (object-lock) S3 bucket keyed by case ID.
  4. 4A Confluence page is created summarizing the case with a link to the archived evidence.
  5. 5A Slack confirmation posts the case ID and archive location for the record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect AWS S3Buckets, objects, signed URLs.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  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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