SECOPS

Scheduled control-screenshot evidence capture to S3 and Notion

On a recurring audit cadence, logs into each control dashboard, captures timestamped screenshots, archives them in S3, and records a dated evidence row in a Notion audit log.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAudit cadence schedule fires
  • ActionCapture control dashboard screenshotBrowserbase
  • ActionUpload screenshot to versioned S3 keyAWS S3
  • ActionAppend dated evidence row to Notion logNotionNotion
  • OutputPost capture summary to SlackSlack

What it does

Runs on your audit cadence (monthly or quarterly), opens each control system's dashboard in a headless browser, captures a full-page screenshot, uploads the image to a versioned S3 bucket with a date-stamped key, and appends a row to a Notion evidence database recording the control ID, capture time, and the S3 link.

When to use it

When you maintain a SOC 2, ISO 27001, or HIPAA control set and an auditor expects periodic proof that controls (MFA settings, backup config, logging dashboards) were in place at known points in time. It replaces the manual quarterly screenshot scramble.

How it works

  1. 1A schedule fires on the first of the audit period.
  2. 2For each control in the list, Browserbase opens the dashboard URL and captures a full-page screenshot.
  3. 3The image is uploaded to S3 under `evidence/<control-id>/<date>.png`.
  4. 4A new row is written to the Notion evidence database with control ID, timestamp, and the S3 object URL.
  5. 5A Slack message summarizes how many controls were captured and links the Notion log.

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 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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