Agent Access Control: Secure Your AI Workflows
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This n8n template provides a robust framework for managing agent access and permissions. Securely control which AI agents can perform specific actions based on user roles and defined policies, ensuring your automated workflows remain compliant and protected.
About This Workflow
The Agent Access Control template is designed to bring a layer of security and granular control to your n8n workflows, especially those involving AI agents. It leverages a combination of triggers, data retrieval, and custom logic to dynamically check user permissions against a centralized data source (Airtable in this example). When a request comes in, the workflow first identifies the user and retrieves their granted roles and allowed tools. This information is then used to filter the available AI tools, ensuring that only authorized agents can access and execute specific functionalities. This prevents unauthorized actions and maintains the integrity of your automated processes, making it ideal for complex or sensitive applications.
Key Features
- Dynamic Permission Checks: Dynamically verifies user permissions against predefined roles and allowed actions.
- Centralized User Management: Integrates with external data sources (like Airtable) for centralized user and permission management.
- Granular Tool Access: Controls access to specific AI tools or functions based on user authorization.
- Flexible Triggering: Supports various triggers, including Telegram messages and other workflow executions.
- Customizable Logic: Built with Langchain and n8n's code nodes for adaptable and extensible permission logic.
How To Use
- Configure Trigger: Set up your initial trigger (e.g.,
Telegram TriggerorWhen Executed by Another Workflow) to initiate the access control process. - Retrieve User Data: Connect your user data source (e.g.,
Get user permissionsnode for Airtable) and configure it to fetch user roles and allowed tools based on the incoming request. - Set Input Variables: Use
Setnodes (e.g.,Set inputandSettings) to parse and structure the retrieved user data and any necessary workflow input parameters. - Define AI Models and Memory: Configure your AI models (e.g.,
OpenAI Chat Model) and associated memory nodes (e.g.,Simple Memory) for conversational AI interactions. - Implement Permission Logic: Utilize the
Check permissionscode node to dynamically filter AI tools based on the user'sallowed_tools. This node is crucial for enforcing access control. - Connect and Test: Link the nodes according to the workflow's logic and thoroughly test with different user profiles and tool access scenarios to ensure correct permission enforcement.
Apps Used
Workflow JSON
{
"id": "71b4a8fb-9ac8-44a7-83c5-a3f8a7bf8379",
"name": "Agent Access Control: Secure Your AI Workflows",
"nodes": 18,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 71b4a8fb-9ac8...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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