SECOPS

Dropbox Sensitive Shared-Link Revocation Approval Loop

Finds Dropbox files shared by public link, opens a Linear ticket per sensitive exposure, and waits for a Slack approval before the operator confirms revocation.

CategorySecOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled Dropbox link audit
  • ActionEnumerate shared links and resolve filesDropboxDropbox
  • LogicFilter to sensitive-pattern files
  • ActionCreate Linear issue per exposureLinearLinear
  • LogicSend Slack approval and branch on responseSlack
  • OutputWrite confirmed revocation note to LinearLinearLinear

What it does

Audits your Dropbox team space for files exposed through public shared links, then opens a tracked approval loop for each sensitive one. Every flagged file becomes a Linear issue, an approval prompt goes to Slack, and only after a reviewer approves does the flow post the confirmed revocation instruction back to the ticket — so no link is killed without sign-off.

When to use it

Use this when you need an auditable revocation process rather than silent auto-deletion. Ideal for teams under compliance scrutiny where every link teardown must have a named approver and a paper trail.

How it works

  1. 1A schedule triggers the Dropbox link audit on your chosen cadence.
  2. 2The flow enumerates shared links and resolves each to its file metadata.
  3. 3A filter isolates links on files matching sensitive patterns (legal, finance, PII).
  4. 4For each match it creates a Linear issue capturing the file, owner, and link.
  5. 5A Slack approval message is sent; the flow branches on the approve/deny response.
  6. 6On approval, the confirmed revocation note and link are written back to the Linear issue for the operator to action.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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