Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
️ n8n Guardrails: Risk Ranking This workflow provides a complete testing rig for evaluating text against seven essential AI guardrails used in production systems. It helps you detect jailbreak at...
n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.guardrails, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.googlesheets, n8n-nodes-base.switch, n8n-nodes-base.set, n8n-nodes-base.manualtrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sandeep Patharkar | www.FastTrackAiMastery.com.
Original n8n.io sourceThis workflow provides a complete testing rig for evaluating text against seven essential AI guardrails used in production systems.
It helps you detect jailbreak attempts, PII exposure, NSFW content, secret key leaks, malicious URLs, topical misalignment, and keyword violations.
Use the included Google Sheet or CSV to batch-test multiple inputs instantly.
The workflow reads each test entry (Guardrail_Type + Input_Text) from a Google Sheet or CSV.
A Switch node sends the text to the appropriate guardrail:
Each guardrail uses Google Gemini to return:
Three sanitizers demonstrate how to clean unsafe text:
Each guardrail node outputs clean JSON, making debugging fast and transparent.
Use either:
Update only:
Create an OAuth2 credential → paste the Google JSON → connect your account.
Go to Credentials → Google Gemini (PaLM API) →
Paste your API key → attach it to all Guardrail nodes.
They visually explain:
Click Execute Workflow and inspect:
The included dataset allows instant testing:
Template Author: Sandeep Patharkar
Category: AI Safety / Agent Security
Difficulty: Intermediate
Estimated Setup Time: 10–15 minutes
Tags: Guardrails, AI Agents, Safety, Enterprise
Author: Sandeep Patharkar**
🔗 LinkedIn: https://www.linkedin.com/in/sandeeppatharkar
🏠 Skool AIC+: https://www.skool.com/aic-plus
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 32 workflow blocks. Download the JSON for the full node graph.
| Workflow | n8n enterprise AI security firewall — guardrails for secure agents |
|---|---|
| Complexity | advanced |
| Nodes | 32 |
| Categories | SecOps, AI Summarization |
| Author | Sandeep Patharkar | www.FastTrackAiMastery.com |
| Published | 19 Nov 2025 |
Use the JSON export at /data/workflows/11025/11025.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
️ n8n Guardrails: Risk Ranking This workflow provides a complete testing rig for evaluating text against seven essential AI guardrails used in production systems. It helps you detect jailbreak at...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your SecOps, AI Summarization use case.