Cerbos for AI Agent Security: Features, Pricing, and Alternatives

Cerbos is an open-source authorization engine designed to simplify the implementation of fine-grained access control in applications, addressing the gap left by platforms that handle only authentication. It offers two main products: the open-source Cerbos engine and the Cerbos Hub SaaS platform, both aimed at centralizing and managing authorization logic through declarative policies. These products cater to B2B SaaS companies and enterprises needing complex permission models, providing support for role-based, attribute-based, and relationship-based access control. Cerbos's policy evaluation engine delivers ultra-low latency decisions, crucial for AI agents requiring frequent permission checks. The platform's GitOps workflow treats authorization policies as code, enabling version control, testing, and CI/CD integration. Cerbos also supports multiple programming languages through SDKs, facilitating easy integration with application code. While Cerbos excels in managing authorization, it complements rather than replaces authentication solutions like WorkOS, which handle identity verification and session management. In AI applications, Cerbos helps enforce authorization at the agent level, ensuring that agents operate within defined permissions and preventing data leakage. For production environments, combining Cerbos for authorization with robust authentication platforms like WorkOS provides a comprehensive security solution.