OTHER

Quarterly access-review evidence capture with change detection

Each quarter, screenshots every IAM and admin-access panel, compares the captured user list against last quarter's baseline.

CategoryOther
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerQuarterly access-review schedule fires
  • ActionCapture IAM panel and read user listBrowserbase
  • LogicDiff privileged users vs. stored baseline
  • ActionEscalate access delta to owner in SlackSlack
  • ActionArchive screenshots and baseline to S3AWS S3
  • OutputFile access-review row in NotionNotionNotion

What it does

Automates the quarterly user access review. It captures each admin/IAM panel, extracts the list of privileged users from the page, diffs it against the prior quarter's stored baseline, and only escalates when the privileged-user set has actually changed. All screenshots are archived to S3 and logged in Notion regardless.

When to use it

When access reviews are an audit requirement and you want evidence that someone reviewed privileged access every quarter, with proof of what changed since last time rather than a wall of identical screenshots.

How it works

  1. 1A quarterly schedule fires.
  2. 2Browserbase captures each access-control panel and reads the current privileged-user list.
  3. 3A logic step diffs the current list against the baseline stored in S3.
  4. 4If users were added or removed, a Slack message tags the access owner with the delta for sign-off; if unchanged, it auto-confirms.
  5. 5Screenshots and the updated baseline are written to S3 and a Notion review row is filed.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BrowserbaseHeadless browsers, sessions, replays.
  2. 2
    Connect AWS S3Buckets, objects, signed URLs.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect NotionPages, databases, comments.
  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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