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Attack Surface Change Monitoring with n8n, Postgres & OpenAI

Attack Surface Change Monitoring with n8n, Postgres & OpenAI

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Attack Surface Change Monitoring with n8n, Postgres & OpenAI

Attack Surface Change Monitoring with n8n, Postgres & OpenAI

Regular price £12.99
Regular price £12.99 Sale price
SAVE Sold out

Attack Surface Change Monitoring—Automated in n8n with Postgres & OpenAI

This scheduled n8n workflow continuously inventories your external attack surface from three HTTP APIs, diffs it against a Postgres baseline, and uses OpenAI to generate concise risk notes—then sends critical/high alerts to Slack and medium updates by email. When it detects unauthorized cloud footprint, it can also send compliance emails.

What this workflow does

  • Runs every 6 hours via a schedule trigger to keep monitoring current.
  • Collects and normalizes assets by querying three external HTTP API sources in parallel (e.g., subdomains, exposed services, and public cloud resources), then merges them into a deduplicated inventory with stable fingerprints.
  • Diffs against a Postgres baseline by loading the previous inventory from Postgres and comparing it to the current run to identify new, changed, and removed assets.
  • Scores and flags risk-relevant changes, including identifying new cloud resources outside allowed provider/region allowlists.
  • Generates risk triage narratives with OpenAI (one to two sentences per change) and attaches them to each change record.
  • Routes notifications by severity:
    • Critical/High: posts alerts to Slack
    • Medium: emails security recipients
    • Low/Removed: logs without notifying
  • Updates the baseline by upserting the full current inventory into Postgres for the next diff.

Use cases

  • SaaS security teams need automated attack surface monitoring without manual diffing across sources.
  • Operators want quick new exposure detection with AI-generated triage notes and severity-based routing.
  • Compliance-minded teams need unauthorized cloud footprint alerts with optional compliance emails.

Technical details

  • n8n scheduled workflow (every 6 hours)
  • HTTP Request nodes for three authenticated API sources (header-auth or equivalent)
  • Postgres for storing and loading the baseline inventory (diff + upsert)
  • OpenAI for generating concise risk triage narratives
  • Notification routing via Slack and email
  • Workflow logic uses nodes such as if, set, code, no op, and merge
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