Authorization in RAG-based AI systems with Cerbos
Safeguard your company’s sensitive information when developing AI systems
Maintain data security and compliance with fine-grained authorization for your RAG and LLMs. Enforce your organization’s permissions within your AI system.
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LLMs can leak your sensitive data. Don’t let this happen.
Building custom permissions in your RAG architecture is difficult
- Sensitive company data and confidential information is at risk
- Permissions must be set up before data is exposed to AI models
- Managing data across a distributed system is challenging
- Permissions should work independently of the data storage and retrieval methods used by RAG and its underlying systems
Cerbos manages roles and permissions in minutes
- Cerbos can manage data access for AI models, providing only authorized data
- Cerbos provides fast, real-time permission-aware data filtering during vector retrieval
- Cerbos’ architecture enables scalable query execution anywhere in your app stack
- Cerbos works with any data storage and retrieval method. It provides data filtering rules in an AST format, making it easy to adapt to any query language
Get fully functional permission management inside your AI agent, fast
- When a user asks a question, Cerbos enforces existing permission policies to ensure the user has permission to invoke an agent.
- Before retrieving data, Cerbos creates a query plan that defines which conditions must be applied when fetching data to ensure it is only the records the user can access based on their role, department, region, or other attributes.
- Then Cerbos provides an authorization filter to limit the information fetched from your vector database or other data stores.
- Allowed information is used by LLM to generate a response, making it relevant and fully compliant with user permissions.
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Seamlessly fits into your existing RAG architecture and data fetching layer, without changing the application code
Use with any vector database
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SDKs support for all popular languages & frameworks
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Ensure users only get authorized content with secure, fine-grained access control for your RAG and LLMs
Full control over AI agent responses. Responses are comprised of only authorized data and sensitive data is protected
Flexible and scalable authorization that can grow as your AI agent evolves and gets more traction
Fast and simple permission management rollout — quicker AI agent release times
Stronger security. Comprehensive auditing of your AI agent’s data retrieval and responses
Dynamic policy adjustments. The filtering logic updates in real time, ensuring up-to-date access control
Enterprise-ready and fully compliant, while your users can enjoy a delightful experience with your AI agent
Ready to see fine-grained access control for your AI agent in action?
Book a technical demo with our engineers