The best authorization platforms for managing AI agent permissions in 2026

AI agents are increasingly prevalent in various functions, necessitating advanced authorization systems beyond traditional role-based access control (RBAC) due to their dynamic and fine-grained permission needs. Fine-Grained Authorization (FGA) is crucial for managing AI agent permissions, requiring platforms that support hierarchical permission inheritance, real-time performance, dynamic policy evaluation, and multi-tenancy. The text evaluates five authorization platforms suitable for AI agents: WorkOS FGA, Oso, Cerbos, Open Policy Agent (OPA), and OpenFGA, each offering different strengths such as enterprise integration, open-source flexibility, and complex relationship modeling. WorkOS FGA stands out for B2B SaaS applications due to its managed service offering, which simplifies implementing enterprise-grade authorization with resource-scoped permissions, real-time performance, and built-in audit logging. In contrast, open-source solutions like Oso, Cerbos, OPA, and OpenFGA provide customizable authorization infrastructure but require significant operational resources and expertise.