SECOPS

Weekly Dropbox exposure report published to Confluence

Compiles a weekly inventory of all public Dropbox share links on sensitive folders, summarizes counts and top offenders.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule starts the report build
  • ActionList public Dropbox links on sensitive foldersDropboxDropbox
  • ActionJoin against Postgres history for week-over-week trendsPostgreSQLPostgres
  • LogicBuild summary tables for totals, departments, and offenders
  • OutputPublish the versioned evidence page to ConfluenceConfluenceConfluence

What it does

Once a week this workflow gathers every public Dropbox share link touching a sensitive folder, rolls the data into summary metrics (total exposed links, links by department, top creators), and publishes a clean Confluence page that auditors and compliance leads can reference as standing evidence of monitoring.

When to use it

Use it when you need a durable, dated paper trail of external-sharing posture for SOC 2, ISO 27001, or internal audit, rather than ephemeral Slack alerts that scroll away.

How it works

  1. 1A weekly schedule starts the report build.
  2. 2The workflow lists all public Dropbox share links and filters them to sensitive folder paths.
  3. 3It joins those links against the Postgres audit history to compute week-over-week change and identify repeat offenders.
  4. 4A formatting step builds an HTML summary with tables for totals, by-department breakdown, and top creators.
  5. 5The page is published to the designated Confluence space, versioned automatically so each week's snapshot is preserved.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  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.

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