What is Authorization as a Service?

Authorization as a Service is a solution that allows developers to manage user access and permissions in applications efficiently without having to build this functionality in-house from scratch. In this article, we'll explore how Authorization as a Service works, its key benefits for developers, and how it simplifies the process of implementing secure access controls in modern applications.

What is authorization?

Authorization is the process of granting or denying access to specific resources based on a user's verified identity. (Not to be confused with Authentication, which is about verifying a user's identity). In simpler terms, authorization is about who can do what in your application once they have logged in and under what conditions.

Authorization is a common problem encountered in almost every application out there, with developers most commonly building their own layer to handle these decisions. This layer can be as simple as a collection of if statements embedded in the application logic.

In simpler applications, it is often enough to rely on basic, coarse-grained authorization models like ACLs or Role-based access control (RBAC). The thing is, most modern applications require much more complex and dynamic authorization rules.

Think of a policy like "A user can access this segment of my application if they are a premium user who paid with Stripe and is located in the US".

While such a policy might seem like a rather basic requirement from an application, it requires quite a complex setup: one that allows making the most accurate access decisions in real time, based on distributed data, and in a way that can be tested, audited, and monitored.

This often requires implementing Fine-Grained Authorization, supporting models like Attribute-based access control (ABAC) and Relationship-based access control (ReBAC).

What is authorization as a service?

Authorization as a service allows you to outsource the management of permissions and access control in your application to a third-party service. In the past few years, new authorization providers have emerged, providing a varying set of services and approaches to solving your authorization challenges.

This surge in authorization solutions didn't come out of the blue, as proper implementation of authorization systems (or the lack of it) is considered by many the biggest concern in application security, with the latest OWASP "Top 10 API Security Risks" report once again listing "Broken Object Level Authorization" as its top 1 vulnerability.

In short, the main benefits of adopting an authorization service are the ability to streamline the application development process while ensuring your application has resilient access control.

This means you can utilize a trusted solution developed by a dedicated team of security professionals, allowing you to concentrate on building the core features of your application, freeing up valuable time and resources that would otherwise be spent on creating and maintaining your own authorization and permission management systems.

That being said, let's dive into each of these points and discuss it in more detail:

Why Would You Need An Authorization Service?

Building a secure application is a top priority for any developer, and managing permissions or authorization is a key component in achieving that. The question of how to manage the authorization layer in your application is relevant to almost any application out there with a varying degree of complexity.

A lot of ink has been spilled over the debate of build vs. buy when it comes to security features. In some areas, such as authentication, a solid consensus has been reached in the last few years that developers should not roll their own authentication. This type of shift isn't limited to the security space: building your own payment infrastructure instead of using solutions like Stripe has been considered absurd for a while now.

With Authorization, the question of build vs. buy has not been debated as much, as full-stack authorization solutions are only now beginning to emerge.

That being said, let's go over the main benefits of adopting an existing authorization solution:

• Enhanced Security Expertise: Authorization is a complex problem that requires in-depth knowledge to solve properly. Third-party authorization services are developed and maintained by security experts who are solely focused on ensuring that the solution they provide meets the latest industry standards. This reduces the risk of security vulnerabilities and data breaches.
• Saves You From Reinventing the Wheel: While a complex problem, authorization is also a common one. Utilizing a ready-made service instead of building one from scratch saves development time, allowing developers to focus on core functionalities and improving time-to-market. Authorization is more than just the enforcement infrastructure. It is also a long set of interfaces (both UI and API) that most applications end up needing sooner or later.
• Compliance and Regulations: Established authorization services come with built-in compliance features that allow you to implement the security and granularity levels required to adhere to industry-specific regulations and standards such as HIPPA, SOC2, and ISO 27001.
• User Experience: Some authorization as a service solutions provide easily manageable user interfaces to manage your authorization layer or even generate policy as code. This prevents a situation where developers become bottlenecks in creating and managing policies, including all stakeholders in the conversation.

Can You Build an Authorization Service Yourself?

While it is possible to build an authorization service yourself, it comes with significant challenges. A homebrew solution would have to meet at least these basic requirements:

• The service must match the availability of your existing stack, ensuring it can handle the constant requests from other services.
• It must process requests with low latency, typically aiming for query response times below 50ms. If each takes more than 50-100ms, your application's performance is basically ruined before it even starts to handle its own core logic.
• You'll need to create a storage system for your authorization data model, including roles, relationships, and policies, which administrators can modify.
• Not all authorization-related data is available or relevant for every authorization check request. Some data, such as user attributes, object metadata, and entitlements, may need to be fetched from external sources such as IAM providers, application databases, external services, etc. This data needs to be propagated into the authorization layer when required and managed in real time.
• Supporting various authorization models (Such as RBAC, ABAC, ReBAC, or any model relevant to your application) while maintaining fast and reliable query responses is essential.
• Authorization systems require ongoing critical maintenance and development as new requirements continue to funnel in from customers, security & compliance, and the expansion of the application itself.

If you prefer to avoid the engineering effort, using an authorization service allows developers to focus on building their core application functionality rather than spending time and resources building and maintaining infrastructure, APIs, and human interfaces that aren't unique to any application.

What should an authorization as a service solution provide?

If you decide to go with an authorization-as-a-service provider, here's a quick list of considerations you should take into account when deciding which solution to pick:

• Compatibility: Ensure compatibility with existing systems and infrastructure (Like your cloud environment, programming language, data sources, etc.). Make sure that the transition to the new solution can be fast yet gradual.
• Best Practices: Look for a solution that utilizes authorization best practices, such as policy-as-code, event-driven updates, GitOps, back-office control, and customer-facing experiences.
• Latency and Locality: Choose a solution that considers response times and avoids relying solely on remote querying.
• Policy Model Support: Choose a solution that supports the policy model relevant to you: RBAC, ABAC, or ReBAC. Allow yourself to transition between them with flexibility. Remember that application requirements tend to change, necessitating the transition to a different policy model.
• Scalability: Evaluate a solution's ability to handle growth and complex policies or structures.
• Security and Compliance: Prioritize cybersecurity and data protection and avoid an increased attack surface. Ask your provider how they intend to work with your sensitive data for authorization.
• Ease of Use: Choose a user-friendly solution that provides interfaces for creating and managing authorization policies.
• Support: Ensure reliable customer support and quick response times to address any questions or issues.

A more detailed explanation of all the factors to consider when choosing an authorization service can be found here.

What authorization-as-a-service options are out there?

There is no one-size-fits-all approach to authorization. Each application has its unique requirements, and it's important to get accustomed to the different solution approaches before making a decision. In general, authorization services can be divided into two main categories: Policy As Code solutions and Graph-based solutions.

Graph vs. Code-Based Authorization in a Nutshell:

Policy-as-code authorization utilizes code to define authorization policies, facilitating their modification and offering a higher degree of flexibility, effectively handling complex rules and relationships. Graph-based authorization systems employ a graphical representation to illustrate relationships between users and resources and excel at mapping hierarchies and nested relationships. To learn more about the choice between graph-based authorization and code-based authorization, check out this article.

Here is a quick list of authorization-as-a-service options:

Policy-as-code solutions:

Open Policy Agent (OPA)

OPA is an open-source policy engine for controlling access to systems and resources.

It uses a high-level declarative language called Rego to define policies and evaluate complex authorization rules.

OPA has gained significant industry adoption and is backed by a thriving community, making it a reliable choice for building robust and fine-grained authorization services.

AWS' Cedar

AWS Cedar is a new open-source policy-as-code language developed by AWS to streamline IAM management and access control. It introduces a structured and scalable approach to managing permissions, making it a game-changer for application-level permissions. A detailed guide to building RBAC with Cedar is available here.

Permit.io integrates with both Cedar and OPA, allowing users to generate policy as code for both engines.

You can read an in-depth comparison between OPA and Cedar here.

Graph-Based Solutions:

Google Zanzibar

Google Zanzibar serves as Google's gatekeeper for access control and is renowned for its distributed, scalable, and consistent architecture. Underpinning Zanzibar is a graph data model and a distributed consensus algorithm ensuring consistent authorization decisions across the board.

SpiceDB

AuthZ's SpiceDB is a mature open-source graph-based authorization system. Extending beyond Zanzibar's original specifications, SpiceDB introduces features such as Caveats and adopts the role of a permissions database, emphasizing its centrality in the authorization domain.

Scalable Implementation

Scaling the deployment of your policy engine of choice for policy evaluation in production can be challenging.

While policy engines provide the necessary building blocks for defining policies and evaluating decisions, deploying them with your application at scale requires a solution. This is where OPAL comes in. Supporting both Cedar and OPA, OPAL serves as an administration layer that simplifies the deployment of your policy engine of choice and ensures seamless scalability.

With OPAL, you can effortlessly keep your policy configuration up to date across all deployed policy engines, ensuring consistency and accuracy. It also guarantees that the data used for evaluation remains current, facilitating precise policy enforcement. OPAL's configuration-as-code approach simplifies the deployment process by providing a centralized and easily manageable configuration.

Policy Authoring

While OPA, Cedar, and Google Zanzibar provide us with the ability to unify all policies in a single service, take on the role of policy decision-making and enforcement from the app's services, and manage policy as code/graph, they lack one key functionality:

The ability to create, manage, and enforce policies in a way anyone in your organization can use.

Normally, creating and managing your application's authorization policies could only be done through complex R&D work and steep learning curves (e.g. writing Rego or Cedar code). This creates a situation where developers become bottlenecks in your app's permission management, other stakeholders are locked out of the conversation, and your customers are left without the flexibility they require. All of these manifest as an unending stream of feature requests.

The solution is implementing and managing your policies with a simple, no-code UI that makes permission management accessible to other stakeholders.

This can be achieved by using Permit, which allows you to manage policy-as-code with a no-code UI or API, supporting both OPA and Cedar. Permit generates code for RBAC, ABAC, and ReBAC, which you can edit, add to, and manage via GitOps.

2026 Comparison: Best Authorization-as-a-Service Providers

The authorization-as-a-service landscape has matured considerably. This section compares seven leading providers as of October 2026: Permit.io, Oso Cloud, Cerbos, AuthZed, Auth0 FGA, WorkOS FGA, and AWS Verified Permissions.

We build Permit.io, so read this as a vendor-written comparison. To keep it useful, we based the comparison on each vendor's documentation or pricing page, checked on 5 October 2026. Where a point depends on vendor documentation, we attribute it or avoid stating it as fact. These products change quickly, so open the linked pages before you decide.

Comparison Table

The table compares seven options on the dimensions that usually decide the shortlist. It lists billing models and no prices, because plans change often. Access models, languages, and licensing come from each vendor's documentation.

Two notes on reading the table. First, a "yes" for a model is not the same as parity: Permit's own docs say the Cloud PDP evaluates RBAC and ReBAC but not ABAC, and you need an Edge PDP for attribute conditions and custom policy code. Second, "managed" can mean a hosted decision API, a hosted control plane with decisions in your network, or both, and that difference usually decides the shortlist.

How to Narrow the List

Three questions remove most candidates.

Who changes policy? If only engineers do, in pull requests, a policy-as-code engine with a clear testing workflow may be enough. If product managers, support, or your customers' administrators need to change access without a release, you need an editor or embeddable UI, and that narrows the field.

Where must the decision run? A check sits on the critical path of every request. Some teams are comfortable with a hosted decision API. Others need the decision point in their own VPC, or fully air-gapped. Check what happens to decisions when the vendor's control plane is unreachable, and ask for the answer in the vendor's own docs.

What shape is your data? Tenant-wide roles with a handful of permissions are a different problem from a Google-Docs-style graph of folders, groups, and shares. Relationship-heavy products are built for the second case. Role-first products are simpler for the first. For a deeper look at the models themselves, read RBAC vs ABAC vs ReBAC. For a step-by-step evaluation process, see how to choose an authorization service, and for a self-hosted shortlist see top open-source authorization tools for enterprises in 2026.

When to Choose Each Provider

Permit.io

Permit.io splits authorization into a control plane and decision points. The control plane lives in Permit's cloud, where you manage policy in the Policy Editor, the API, Terraform, or GitOps. The editor generates policy as code for OPA (Rego) or Cedar. Decisions come from a managed Cloud PDP, or from an Edge PDP container that you run beside your services, kept in sync by OPAL. Permit also ships Permit Elements, embeddable components for user management, access requests, approvals, and audit logs.

Permit generates policy in open languages (Rego or Cedar) rather than a proprietary format. OPA is a CNCF graduated project, and Cedar was accepted to the CNCF at Sandbox on 8 October 2025. The generated policy can be reviewed in Git, tested with standard tools (opa test on the policy repository, Permit CLI test commands), and reused outside Permit if you later change control planes.

Choose Permit.io when:

• Non-engineers need to change who can do what without a code release, or your customers' admins need to manage access inside your product.
• You want a managed control plane but want decisions made inside your own network, with a deployment path from hybrid to full on-premise.
• You expect to mix RBAC, ABAC, and ReBAC in one policy and want open source engines underneath.
• You want policy in Terraform, GitOps, environments, CI/CD, and a CLI, on top of open policy languages (Rego or Cedar).

Choose something else when:

• You want hand-written policy files in Git and a decision point with no control plane at all. Cerbos is built for that.
• Your problem is relationship-first authorization with Zanzibar-style consistency controls. AuthZed or OpenFGA-based products are purpose built for it.
• You run only on AWS and are happy to write Cedar directly. AWS Verified Permissions keeps the authorization service inside your AWS stack.

For a deeper technical comparison, see Permit.io vs Cerbos: managed control plane vs self-hosted PDP.

Oso Cloud

Oso Cloud is a hosted authorization service built around Polar, a declarative logic language. According to Oso's docs, Polar can express RBAC, ReBAC, and ABAC. Oso offers three deployment models: cloud, hybrid with read-only fallback nodes in your infrastructure, and self-hosted on AWS. Its Local Authorization feature can return SQL expressions to run against your own PostgreSQL or MySQL database, which is useful for filtering lists.

Tiny Ltd completed its acquisition of Oso Cloud on October 1, 2026 (announced October 6). Most of the engineering team joined Temporal to work on agent security there. According to Oso's announcement, the service will continue to operate as usual. Teams evaluating Oso Cloud alternatives or considering migrating from Oso should factor in that the team maintaining the platform has transitioned.

Choose Oso Cloud when:

• You want authorization expressed as logic in one declarative language, owned by engineers.
• Filtering collections against your own SQL database is a central need.
• You want a vendor-hosted service with a hybrid fallback option for outages.

Choose something else when:

• Product or support teams, or your customers, need a UI to manage access. Permit.io is built around that.
• You need an open source decision point you can run with no vendor relationship. Cerbos and SpiceDB are open source.
• You need an actively maintained authorization platform with ongoing feature development and a dedicated team. Permit.io, Cerbos, and AuthZed all have full-time teams focused on authorization.

Cerbos

Cerbos is built around an open source, stateless PDP that you run as a service, sidecar, or daemonset. Policies are YAML or JSON files with CEL conditions, typically stored in Git. Cerbos Hub is an optional commercial control plane for authoring, testing, distribution, and audit log aggregation. According to Cerbos, the PDP needs no license or Hub account. Cerbos pricing is based on monthly active principals, with the open source PDP free.

Cerbos policies are YAML or JSON documents with CEL conditions. That format is Cerbos-specific. CEL itself is an open expression language, but the surrounding policy schema, rule shape, and evaluation semantics are proprietary to Cerbos. Teams that invest deeply in Cerbos policy files should plan for a rewrite if they move engines later. YAML is designed for configuration and structured data, not for expressing branching logic. In Cerbos, complex rules become CEL expression strings embedded inside YAML fields. Those strings are harder to format, refactor, type-check, and unit-test than policy written in a language meant for logic (such as Rego or Cedar). For small allow/deny matrices this is fine. For large, evolving authorization logic, a dedicated policy language is usually easier to keep correct.

The PDP is stateless: it evaluates the policies it has loaded against the principal and resource attributes supplied on each API request. Relationship facts are not stored as a first-class graph inside the open source PDP the way Permit stores relationship tuples; if a rule needs "user owns folder," the caller (or Synapse) must provide those attributes on the check.

Choose Cerbos when:

• You want policy as reviewed, tested files in your repository and a decision path with no control plane.
• Only engineers edit policy, and a sidecar or air-gapped deployment is a hard requirement.
• You want an Apache 2.0 PDP first, with the option to add Cerbos Hub later.

Choose something else when:

• Non-developers must author policy, or you need prebuilt embeddable access-request and user-management UI. If those are hard requirements, compare Cerbos with products that include those components, including Permit.io. See also Cerbos's comparison page.
• You need OPAL-style data sync to your PDP rather than passing attributes on each request.

AuthZed (SpiceDB)

AuthZed develops SpiceDB, an open source permissions database inspired by Google Zanzibar. You describe your model in the SpiceDB schema language, write relationships, and query permissions with configurable consistency. AuthZed sells AuthZed Cloud, Dedicated Cloud, and self-hosted licenses, and SpiceDB itself is Apache 2.0 licensed.

Choose AuthZed when:

• Your core problem is a large relationship graph: nested organizations, folders, groups, and sharing.
• You want Zanzibar semantics and consistency controls, with an open source core you can run yourself.
• You are comfortable owning the data-sync work between your application database and the permissions database.

Choose something else when:

• Your needs are mostly roles and attribute conditions, with non-engineers editing policy. A role-first product will be less work.

Auth0 FGA

Auth0 FGA is Okta's managed relationship-based access control service built on OpenFGA, the CNCF open source project. You write an authorization model and store relationship tuples. According to the subscription docs, the free tier is for evaluation, with limits such as 100 monthly active users and 50 thousand tuples, and production use requires an enterprise contract.

Choose Auth0 FGA when:

• You already use Auth0 or Okta and want one vendor relationship for identity and relationship-based authorization.
• Your model is relationship-based and you like that the service is built on open source OpenFGA, which Auth0 says keeps you from being locked into a proprietary system.

Choose something else when:

• You want to start in production without a sales conversation. Self-hosting OpenFGA or choosing a product with a self-service plan avoids that.
• You need a policy editor for non-engineers, or ABAC-heavy rules without relationships.

WorkOS FGA

WorkOS FGA extends the WorkOS RBAC product with resources arranged in a hierarchy, so a role on a workspace flows down to the projects and apps inside it. According to the docs, it has no schema DSL, integrates with SSO, Directory Sync, and AuthKit, and can be adopted incrementally.

Choose WorkOS FGA when:

• You already use WorkOS for SSO, Directory Sync, or AuthKit and want roles scoped to workspaces and projects with inheritance.
• You prefer configuring resource types in a dashboard over learning a modeling language.

Choose something else when:

• You need attribute conditions, arbitrary relationship graphs, or decision points inside your own network. If those are requirements, confirm current support with WorkOS before relying on them.

AWS Verified Permissions

Amazon Verified Permissions is a managed service for fine-grained authorization in custom applications. Policies are written in Cedar, the open source policy language, and managed through the AWS console, APIs, or CloudFormation. It assumes the user is already authenticated elsewhere, for example by Amazon Cognito or another OIDC provider. AWS prices it per API request, with no upfront or minimum fees.

Choose AWS Verified Permissions when:

• Your workloads and identity already live in AWS, and you want Cedar with AWS-native billing and access control.
• Pay-per-request pricing suits a low or spiky call volume.

Choose something else when:

• You need decisions inside your own network or on other clouds, a policy UI for non-developers, or embeddable end-user components. You can also run Cedar through Permit.io if you want the language without tying the service to AWS.

Quick Decision Guide

Frequently Asked Questions

What is authorization as a service?

Authorization as a service is a hosted or partly hosted system that decides whether a user, service, or agent may perform an action on a resource, so you do not build that logic into each application. Your code asks a decision point and enforces the answer. The service usually adds a way to manage policy and, in some products, user-facing UI and audit logs.

Which authorization as a service is best for a multi-tenant SaaS app?

It depends on who manages access and where decisions run. Teams that need per-tenant roles, customer-admin UI, and decisions in their own network often shortlist Permit.io (see also best practices for multi-tenant authorization). Teams that prefer policy as files in Git look at Cerbos, and teams with sharing-heavy relationship graphs look at AuthZed or Auth0 FGA.

Is there a free authorization as a service?

Several products have free options with different limits. Permit.io's Community plan is free and lists limits of 1,000 monthly active users and 20 tenants. The Cerbos PDP and SpiceDB are open source and free to self-host. Auth0 FGA has a free evaluation tier that is not meant for production, and AWS Verified Permissions charges per request with no minimum.

Which options can I self-host?

Cerbos and SpiceDB are open source and can run entirely in your infrastructure. Permit.io's Edge PDP runs in your network, and Enterprise customers can deploy the full platform on-premise. Oso supports self-hosting on AWS, and OpenFGA (the open source base of Auth0 FGA) is self-hostable. According to their docs, AWS Verified Permissions and WorkOS FGA are hosted services.

How is authorization as a service different from OPA or Cedar?

OPA and Cedar are policy engines: they evaluate policy against input and return a decision. An authorization service adds what surrounds the engine, such as policy storage, data synchronization to decision points, a management interface, and audit logs. Some services are built on these engines. Permit.io, for example, runs OPA or Cedar inside its decision points. For a deeper comparison, read the policy engine showdown.

Do I need RBAC, ABAC, or ReBAC?

Start with the question you need to answer. Roles answer "what can an editor do," attributes answer "under what conditions," and relationships answer "what does this person have to do with this specific document." Many products grow into a mix, so check whether the service can combine models before you commit. See RBAC, ABAC, and ReBAC for the basics.

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