Complete AI Safety Suite: Test 9 Guardrail Layers with Groq LLM
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Muhammad Shaheer Awan
Description
Who's It For
AI developers, automation engineers, and teams building chatbots, AI agents, or workflows that process user input. Perfect for those concerned about security, compliance, and content safety.
What It Does
This workflow demonstrates all 9 guardrail types available in n8n's Guardrails node through real-world test cases. It provides a comprehensive safety testing suite that validates:
Keyword blocking for profanity and banned terms
Jailbreak detection to prevent prompt injection attacks
NSFW content filtering for inappropriate material
PII detection and sanitization for emails, phone numbers, and credit cards
Secret key detection to catch leaked API keys and tokens
Topical alignment to keep conversations on-topic
URL whitelisting to block malicious domains
Credential URL blocking to prevent URLs with embedded passwords
Custom regex patterns for organization-specific rules (employee IDs, order numbers)
Each test case flows through its corresponding guardrail node, with results formatted into clear pass/fail reports showing violations and sanitized text.
How to Set Up
Add your Groq API credentials (free tier works fine)
Import the workflow
Click "Test workflow" to run all 9 cases
Review the formatted results to understand each guardrail's behavior
Requirements
n8n version 1.119.1 or later (for Guardrails node)
Groq API account (free tier sufficient)
Self-hosted instance (some guardrails use LLM-based detection)
How to Customize
Modify test cases in the "Test Cases Data" node to match your specific scenarios
Adjust threshold values (0.0-1.0) for AI-based guardrails to fine-tune sensitivity
Add or remove guardrails based on your security requirements
Integrate individual guardrail nodes into your production workflows
Use the sticky notes as reference documentation for implementation
This is a plug-and-play educational template that serves as both a testing suite and implementation reference for building production-ready AI safety layers.