DOCUMENT OPS

Quarantine Slack file uploads that contain secrets or PII

Inspects every file uploaded to monitored Slack channels for credentials and personal data, deletes and quarantines anything that fails, and warns the uploader privately.

CategoryDocument Ops
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFile uploaded to monitored Slack channelSlack
  • ActionDownload file and extract textSlack
  • ActionScan for secrets and PIIOpenAI
  • LogicDecide if file violates policy
  • ActionQuarantine file to restricted S3 bucketAWS S3
  • OutputDelete message and DM uploader privatelySlack

What it does

Listens for file uploads in monitored Slack channels and scans each one for leaked secrets (API keys, tokens, passwords) and PII. Files that fail the policy are removed from the channel and copied to a secure quarantine bucket, while the uploader gets a private heads-up.

When to use it

Use it when engineers or support agents paste logs, screenshots, or config files into Slack and you need to stop credentials and customer data from sitting in channel history. Great for security-conscious teams that treat Slack as a real exposure surface.

How it works

  1. 1A file_shared event in a watched Slack channel fires the trigger.
  2. 2The file is downloaded and its text (or OCR-extractable content) is pulled out.
  3. 3An OpenAI scan flags secrets and PII with categories and confidence.
  4. 4A logic gate decides whether the file violates policy.
  5. 5On a violation the original message is deleted and the file copied to an S3 quarantine bucket with restricted access.
  6. 6The uploader receives an ephemeral Slack DM explaining what was caught and how to rotate or redact.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AWS S3Buckets, objects, signed URLs.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.