Best rbac AI tools

Golf is an enterprise-grade, protocol-aware firewall designed for the Model Context Protocol (MCP). It provides a centralized security layer to protect MCP servers from specific threats like prompt injection and token hijacking, enabling businesses to securely deploy AI agent infrastructure into production.

D2 is a Python SDK designed to simplify authorization for AI agents and LLM tools. It provides robust, code-level security by adding a single decorator to your functions, replacing complex authorization logic with an easy-to-manage, policy-based system.

Permit.io is a full-stack authorization platform designed for the AI era. It simplifies the implementation of complex access controls like RBAC, ABAC, and ReBAC for developers. With a no-code policy editor, GitOps integration, and embeddable UI components, it allows entire teams to manage permissions securely and efficiently. The platform ensures low-latency decisions by running in a hybrid model, keeping sensitive data within your network while offering robust compliance and scalability for modern applications, including those powered by AI agents.

Oso is an Authorization as a Service platform for developers. It simplifies the implementation of complex access control logic like RBAC, ReBAC, and ABAC. Using its declarative policy language, Polar, engineering teams can quickly build and enforce fine-grained permissions for any application, including modern AI-native apps with agentic workflows and RAG systems, accelerating development and enhancing security.

oso.ai is an AI-powered authorization platform that helps developers build, manage, and enforce fine-grained access control. It simplifies complex security policies using natural language, intelligent automation, and a flexible policy engine.