Storage PII Scanner Alert
Every 6 hours: scan S3/GCS/Azure Blob for untagged sensitive objects (email, phone, SSN, card); alert compliance team with classification and encryption requirements.
Overview
**What it does**: Schedule (every 6h) → query cloud storage (S3, GCS, Azure Blob) for all objects → code uses ML/regex to detect potential PII (email, phone, ssn, credit_card, address) → for each detected object, check if tagged as confidential/sensitive in metadata → IF untagged PII found → LLM classifies risk (high: SSN/card; medium: email) + compliance exposure (GDPR, CCPA, HIPAA) + remediation (tag as confidential, enable encryption, restrict access) → Slack to #security-alerts. **Setup (4 steps)**: 1. Connect cloud storage: S3 (ListBucket, GetObject), GCS (list, read), Azure Blob (list) 2. Define PII patterns: regex for object names and sampling (can customize) 3. Set sensitivity levels: high/medium/low risk classification 4. Configure Slack channel: #security-alerts **Apps/nodes**: Schedule, HTTP request (storage list API), code node (PII detection), Claude/OpenAI (risk classification), Slack. **Credentials required**: Cloud storage API key, OpenAI account, Slack workspace. **Difficulty**: Medium | **Setup time**: 9 minutes. **Business outcome**: Untagged PII caught regularly → compliance violations ↓ prevented, data minimization ↑ enforced, audit readiness ↑.
What's included
Inside this workflow
Quickstart
- 01
Download the JSON
With an active Library Pass, download the workflow file right from this page or your dashboard.
- 02
Import into n8n
Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.
- 03
Plug in credentials
Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.
- 04
Activate and test
Run once with sample input, confirm the expected output, then flip the activate toggle.
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