SECOPS

AI triage of Dropbox exposures into owned Linear tickets

On demand, an agent reviews flagged public Dropbox links on sensitive folders, classifies each by data type and severity, drafts remediation steps.

CategorySecOps
EngineSim + Paperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator or upstream alert starts the triage run
  • ActionPull current public links on sensitive folders from DropboxDropboxDropbox
  • ActionAgent classifies severity and drafts remediation stepsOpenAI
  • LogicSplit genuine risks from low-risk noise
  • ActionOpen an assigned Linear issue per genuine riskLinearLinear
  • OutputLog low-risk dismissals to Postgres for auditPostgreSQLPostgres

What it does

This agent-driven workflow takes a batch of flagged Dropbox exposures and reasons about each one: what kind of data the folder likely holds, how severe the exposure is, and who should own the fix. It writes a concise remediation plan and opens a Linear ticket per genuine risk, assigning it to the responsible team, while recording links it judges low-risk so nothing is silently ignored.

When to use it

Use it when raw link lists need human-quality judgment to separate true exposures from noise and convert them into trackable, owned work instead of another channel that gets ignored.

How it works

  1. 1An operator or upstream alert triggers the triage run.
  2. 2The workflow pulls the current public links on sensitive folders from Dropbox.
  3. 3The agent classifies each link by likely data sensitivity, severity, and owning team, then drafts remediation steps.
  4. 4A decision step splits genuine risks from low-risk noise.
  5. 5For each real risk it creates an assigned Linear issue with the plan attached.
  6. 6Low-risk dismissals are logged to Postgres so the triage decision is auditable.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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