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n8n Security

Your n8n instance holds the keys to every system it automates. Secure it like it.

Why n8n security deserves respect

An n8n instance is a credential concentrator: it stores working tokens for your email, CRM, database, payment provider — everything you've automated. Compromise the instance and every connected system is exposed. Public scans regularly find unauthenticated n8n installs; don't be one of them.

This is the checklist we apply to every deployment we operate. DIY self-hosters: steal it freely.

Access and authentication

  • Never expose n8n directly to the internet. Reverse proxy (Traefik/nginx) with TLS in front, always; VPN or IP-allowlist for the editor UI where possible.
  • SSO/SAML or at minimum enforced strong auth for every user; n8n Enterprise adds SSO and project-level RBAC (when Enterprise is warranted).
  • Least-privilege users — builders don't need owner; viewers don't need edit.

Credentials and secrets

  • Set a strong N8N_ENCRYPTION_KEY and back it up separately from the database — credentials are only as safe as that key.
  • Prefer external secrets (Vault, cloud KMS) on Enterprise; rotate tokens on a schedule and after any staff change.
  • Scope OAuth grants minimally: an agent that reads a calendar doesn't need domain-wide delegation.

Network and webhooks

  • Webhook URLs are unauthenticated by default naming — add verification (HMAC signatures, secret path segments, or header tokens) to every production webhook.
  • Separate the editor (locked down) from webhook endpoints (public) — n8n supports distinct hosts for a reason.
  • Egress-restrict where possible: an instance that can only reach the services it automates limits blast radius.

Operations

  • Update discipline — n8n patches security issues in regular releases; a version pinned for a year is an open CVE list. (This is where managed operation quietly earns its fee.)
  • Postgres, not SQLite, for production; encrypted backups with restore drills, not just backup cron jobs.
  • Audit logging — stream execution and access logs somewhere the instance itself can't erase.

The AI layer

Workflows calling LLMs add two risks classic checklists miss: data egress (what customer data leaves for which model provider — decide per data class, route accordingly: multi-provider strategy) and prompt injection (an email that tells your agent to exfiltrate the inbox — keep irreversible actions behind approval steps, exactly as we argued in the enterprise guide).

The honest summary

None of this is exotic — it's standard web-app hardening applied to a high-value target, plus AI-era egress rules. It's also recurring work, not one setup weekend, which is why security is a standing line in every deployment we operate (hosting options). Running your own and want it reviewed? We do security reviews of existing n8n installs.

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