Best Platform for AI Agent Permissions

Website: https://www.cerbos.dev

Best for: self-hosted policy engine with a hosted control plane

Starting price: $25 per month (Cerbos Hub Development)

Free plan: Yes

Pros: policy decision point stays in your infrastructure with your data; YAML policies are versioned like code

Cons: no visual admin interface in the open-source core; pricing counts machine identities as principals

Cerbos is an open-source authorization layer built around a stateless policy decision point that evaluates YAML policies for applications, gateways, workloads, services, and AI agents. Your data stays where it is, because the engine stores no permissions of its own and reads the context you pass in at check time. That design fits teams that cannot move permission data into a vendor cloud, and it fits agent platforms where the agent, the tool it calls, and the data it touches all sit inside your own network.

The open-source policy decision point is free under Apache 2.0, and the commercial control plane, Cerbos Hub, adds hosted authoring, testing, distribution, and audit management. Hub offers a proof-of-concept tier at zero cost for up to 100 monthly active principals, Development from 25 dollars a month, and Production from 933 dollars a month with 5,000 principals included. Note that a principal is a user or a service, bot, or other non-human identity, so 3,000 users plus 15 machine identities counts as 3,015 principals when you size a plan.

Website: https://www.permit.io

Best for: managed permissions with a visual dashboard

Starting price: $5 per month (Startup)

Free plan: Yes

Pros: visual interface for roles, tenants, and permissions; supports several policy models in one control plane

Cons: pricing scales with monthly active users, which can climb fast for consumer-facing apps

Permit.io is a full-stack authorization platform that generates policy for several engines, including Open Policy Agent and Cedar, and gives teams a visual interface for managing roles, tenants, and permissions across environments. That combination suits teams that want policy-as-code under the hood without forcing every product manager or support lead to edit YAML. Multi-tenant support is a core strength, with tenants, environments, and audit logs built into the control plane from the start.

Pricing is published once you open the full plan list. The Community tier is free forever with up to 1,000 monthly active users, 20 tenants, and 3 environments. Startup starts at 5 dollars a month with up to 25,000 monthly active users and 100 tenants, and Pro starts at 25 dollars a month with up to 50,000 monthly active users and 20,000 tenants. Enterprise is custom and adds unlimited usage, compliance support, multi-cloud and on-premises deployment, and a service level agreement. For AI agent work, the tenant model maps cleanly onto agents that act for different customers.

Website: https://www.osohq.com

Best for: developer-first authorization with a declarative language

Starting price: $149 per month (Startup)

Free plan: Yes

Pros: Polar language keeps policy close to application code; predictable flat pricing on the Startup tier

Cons: the open-source library has seen no pushes since February 2025, so check the roadmap before committing

Oso is a developer-first authorization framework that brings access control into an application through Polar, a declarative policy language. Policies live near the code they protect, which appeals to engineering-led teams that treat authorization as part of the application rather than a separate service. The platform supports role-based, attribute-based, and relationship-based rules, and it fits agent systems where the permission check needs to run inside the agent loop with low latency.

The Developer tier is free, and the first priced tier is Startup at 149 dollars a month, with Growth tiers and migration services priced by agreement. That flat structure makes budgeting simple compared with usage-metered rivals. One caution matters more than the price: the open-source oso repository has not been pushed to since 26 February 2025, and the company focus has shifted toward its cloud service. Ask about the library roadmap and support terms before you build a long-term dependency on it.

Website: https://auth0.com

Best for: managed Zanzibar-style authorization from Okta

Starting price: quote only

Free plan: Free trial

Pros: managed service with a 99.99 percent availability SLA; built on OpenFGA, an open-source CNCF project

Cons: production use requires an Enterprise contract with no published price; no self-serve production tier

Auth0 FGA is a managed fine-grained authorization service from Okta, built on OpenFGA, the open-source project that moved to CNCF Incubating maturity on 28 October 2025. It implements the Zanzibar relationship model, which fits sharing, collaboration, and delegation, the exact patterns that appear when AI agents act on behalf of users, teams, and organisations. The service supports millions of users and billions of resources, with a 99.99 percent availability SLA on the Enterprise subscription.

The subscription page offers a free trial for evaluation, without a time limit, but it does not include the Permissions Index feature. Production use requires an Enterprise subscription purchased through Okta master agreement, and the page publishes no dollar figures. A Permissions Index add-on is priced by active expansions. That shape suits enterprises that already run Okta and want a managed service, but teams that need a self-serve production path should look at OpenFGA self-hosted or at Permit.io instead.

Website: https://www.authzed.com

Best for: high-scale relationship authorization with consistency control

Starting price: $2 per hour (AuthZed Cloud)

Free plan: Yes

Pros: explicit consistency levels, including reads as fresh as the last write; proven at very large scale

Cons: hourly cloud pricing is hard to compare with monthly plans; self-hosting needs operational skill

AuthZed builds SpiceDB, an open-source authorization database inspired by Google Zanzibar, and sells AuthZed Cloud as its managed form. SpiceDB is the most established Zanzibar implementation, and its differentiator is consistency control. A permission revoked a millisecond ago may still be cached in other systems, so SpiceDB exposes explicit consistency levels, including a token that requires a read as fresh as the last write. That guarantee matters for AI agents, where a stale permission can let an agent act on data a user just lost access to.

SpiceDB is free and open source under Apache 2.0. AuthZed Cloud is advertised from 2 dollars per hour, with tailored dedicated cloud pricing for larger deployments and subscription-based self-hosted licensing per region and per virtual CPU. The hourly meter makes small deployments cheap and large ones harder to forecast, so model your expected check volume before you choose between cloud and self-hosted. Teams that need Zanzibar semantics with strong consistency should put SpiceDB at the top of the shortlist.

Website: https://openfga.dev

Best for: free open-source relationship authorization

Starting price: $0 per month (self-hosted open source)

Free plan: Yes

Pros: free under Apache 2.0 with CNCF governance; readable modeling language that teams learn fast

Cons: no hosted control plane of its own, so you run it or buy Auth0 FGA; dashboards and audit tooling are yours to build

OpenFGA is an open-source authorization solution with an easy-to-read modeling language, built on the same Zanzibar ideas as Google internal system for sharing and access control. It came out of Auth0 and moved to CNCF Incubating maturity on 28 October 2025, which helps in an architecture review where governance and vendor neutrality matter. The modeling language describes users, groups, objects, and the relations between them, and the engine answers the question of whether a given user can take a given action on a given object.

Self-hosting OpenFGA costs nothing in license fees, and there is no user or check limit in the open-source core. The trade-off is operational: you run the store, the backups, the upgrades, and the monitoring, and you build your own dashboards and audit tooling. Teams that want the same model with a managed service and a support contract should evaluate Auth0 FGA, which is the hosted product built on this code. For agent platforms that need relationship checks at low cost, OpenFGA is the cheapest credible starting point.

Website: https://aws.amazon.com/verified-permissions

Best for: usage-priced authorization inside AWS

Starting price: $0.00015 per API request (first 40 million per month)

Free plan: No

Pros: usage pricing fits spiky agent workloads; Cedar policy language is readable and testable

Cons: per-request cost is hard to predict for chatty agents; no free tier for evaluation at scale

Amazon Verified Permissions is a managed authorization service from AWS built on Cedar, a policy language designed for readable, testable access rules. It fits teams that already run on AWS and want authorization as a managed API rather than a service to operate. Agents call the API to check whether an action is allowed, and the service answers from the policies and the identity data you provide. Batch authorization tiers price API requests at 0.00015 dollars each for the first 40 million per month, then 0.000075 dollars for the next 60 million, and 0.00004 dollars beyond 100 million.

The usage model is the main thing to model carefully. A single authorization request is cheap, but a chatty agent can ask the permission question thousands of times per page render, and the bill follows the request count. There is no free tier, so evaluation costs real money at any volume. On the other hand, there is no monthly minimum and no seat license, so a low-volume agent system can run for a few dollars a month. Use it when your agents live in AWS and your request volume is predictable.