Your team already runs an identity provider. It checks who logs in. But once an AI agent acts on a prompt, retrieves data, calls tools, and returns an answer on a user's behalf, "who are you" is no longer the hard question. The hard question becomes what that agent can do right now, in this exact context.
Most products sold as "authorization" solve a different slice of that problem. So this guide sorts the field into clear categories, shows which tool fits which job, and helps you pick the right layer for apps, APIs, data, and AI agents.
Authorization vs authentication vs governance: what actually does what
Before you compare a single vendor, separate four jobs that hide under one word. Confusing them is how teams end up buying a tool that solves a problem they didn't have.
- Authentication answers "who are you." An identity provider verifies the login, issues a token, and hands off. Useful, and necessary, but it says nothing about what happens next.
- Governance answers "who should have access, over time." Identity governance tools certify entitlements, run access reviews, and manage joiners, movers, and leavers. The decisions are periodic, not real-time.
- A policy decision answers "does this one request match a rule." A policy engine or authorization library evaluates a request against a policy and returns allow or deny. Powerful for application code, and the foundation of fine-grained access.
- Runtime authorization answers "what can this identity do right now, in this context, on this data." It enforces the decision at the moment of action, continuously, across every system, for human, non-human, and AI agent identities.
From RBAC to PBAC
Most enterprises grew up on role-based access control (RBAC). It works until roles multiply. A large bank can carry tens of thousands of roles, and every new application adds more. Attribute-based access control (ABAC) fixed part of that by deciding access from attributes instead of static roles. Relationship-based access control (ReBAC), which Google's Zanzibar model made popular, expresses permissions as relationships between users and resources.
Policy-based access control (PBAC) brings these together. You author one policy that reads roles, attributes, relationships, and live context, then apply it everywhere. So instead of maintaining separate logic per application, you standardize on a single model across apps, APIs, data, and AI.
What is an Authorization Management Platform
Gartner formalized the category in its 2025 Innovation Insight on Authorization Management Platforms (AMPs). An AMP centralizes how you author, manage, deploy, and audit authorization policy, then enforces those policies close to each system at runtime. The point is one control plane for access decisions, rather than a pile of per-app authorization code no one can audit.
Keep those distinctions in mind as you read. Most tools below are excellent at one or two of these jobs, and the value of a platform is how many it covers with one policy model.
Runtime and policy-based authorization platforms
Buyers usually mean this category when they say "fine-grained authorization." These tools decide and enforce access to resources. The split that matters here is between developer-first libraries built for a single application and enterprise platforms built to span an entire estate.
1. Axiomatics
Axiomatics is the original commercial ABAC vendor, with two decades of XACML and ALFA pedigree and a customer base concentrated in regulated industries. If your evaluation demands standards-based attribute policy and you already run XACML, Axiomatics belongs on the list.
The engine is mature. Where PlainID differs is what happens after the request reaches the policy layer. Axiomatics documents policy decisioning for apps, APIs, and data, and it partners with SecuPi for data-layer enforcement. PlainID runs data-layer controls natively, and it enforces across the agentic flow: the prompt before an agent acts, the human's live entitlements inside every agent action, and the generated output before it reaches the user.
Strengths
- Deepest XACML and ALFA standards pedigree, valued by defense and central banking
- Long-established Fortune 1000 deployments and analyst recognition
- Policy Companion, an AI assist for policy authoring
Watch-outs
- Data-layer enforcement leans on a partner rather than native controls
- Slower to the agentic AI and MCP conversation than PlainID
- XACML heritage can read as dated to cloud-native architects
Best fit: regulated enterprises that require standards-based ABAC and have existing XACML investments.
Pricing: enterprise, quote-based. Compare the two directly on our Axiomatics vs PlainID page.
2. Oso
Oso is authorization for developers. Its Polar language lets engineers model access rules in a readable, declarative way, and Oso Cloud runs the decisions with a hybrid architecture that keeps some data in your own databases. For a team adding fine-grained authorization to a single application, it's a clean fit.
Oso focuses on application authorization and expects you to bring your own identity provider. So it earns a place for developers, and it doesn't reach the cross-surface breadth an enterprise needs when authorization has to span apps, COTS data platforms, and AI agents on one policy model. A platform like PlainID takes over there.
Strengths
- Purpose-built Polar language for application authorization
- Hybrid data model that avoids full data replication
- Works alongside any authentication system
Watch-outs
- No identity provider; you supply your own authentication
- No open-source version of the cloud offering
Best fit: developer teams adding fine-grained authorization to an application.
Pricing: developer tier from $0/month, startup tier from $149/month, growth and migration priced on consultation.
3. PlainID
PlainID is an enterprise runtime authorization platform built for the AI era and powered by PBAC. You author policy in one place, and PlainID enforces it close to each system through a library of pre-built Authorizers and SDKs. Every decision evaluates identity attributes, relationships, and live context in real time, for human, non-human, and AI agent identities, under a Zero Standing Privileges model.
What sets us apart is reach with one policy language. PlainID governs access across applications, APIs and microservices, and sensitive data (with row-level and column-level controls and masking), and it extends the same model across the full 5-stage AI agent interaction flow: governing the prompt, filtering retrieved data, validating MCP and tool calls, authorizing runtime API actions, and masking sensitive output before response. A native MCP Gateway intercepts tool calls in flight, and a LangChain integration covers agent frameworks.
Policy360, introduced in November 2025, provides five unified views across policy logic, code, relationships, impact, and audit. It enables teams to author policies visually or as Rego code while reading vendor-native policy formats without requiring a rewrite.
Strengths
- One policy model across apps, APIs, data, microservices, and AI agents
- Native data-layer controls and output masking, not source-only masking
- Human and agent identity binding, so an agent never exceeds the person behind it
- Gartner and KuppingerCole recognition; Fortune 500 customers including Wells Fargo, Cisco, Accenture, and The World Bank
Best fit: large or regulated organizations standardizing authorization across many systems, and teams that need to govern AI agents at runtime.
4. Cerbos
Cerbos is an open-source, stateless authorization service that pulls permission logic out of application code and into declarative YAML policies you can version, test, and review in CI/CD. Teams that want a shift-left, policy-as-code workflow like it for exactly that.
The trade-off shows up at enterprise breadth. Cerbos authors policy in YAML only, where PlainID offers both a visual policy builder and code (including Rego). Cerbos also has no identity layer, no built-in admin console, and no native controls for COTS applications, the data layer, or the agentic flow. So it excels inside a microservices codebase, and it asks you to build the surrounding governance yourself.
Strengths
- Open source, with policies versioned and tested alongside code
- Local dev tooling and language-agnostic API
- Strong ABAC and context-aware support
Watch-outs
- YAML-only authoring; ReBAC patterns get awkward
- No authentication, no admin UI, no enterprise audit interface
Best fit: microservices teams that want open-source, policy-as-code authorization in the developer workflow.
Pricing: open-source is free; Cerbos Hub from $0/month up to 100 monthly active principals; growth from about $25/month.
5. Permit.io
Permit.io is a policy-as-code platform that pairs open-source components with a managed cloud and a low-code policy UI. It leans on established engines under the hood and gives developers SDKs and a visual editor so a team can get fine-grained permissions running quickly.
It's a developer-first, land-and-expand product, strongest with startups and mid-market teams. As authorization has to reach COTS applications, the data layer, and AI agents under enterprise audit, the requirements shift toward the breadth and governance PlainID is built for.
Strengths
- Hybrid open-source plus managed cloud
- Developer-friendly SDKs and a visual policy UI
- Multi-tenant, with ABAC and ReBAC support
Watch-outs
- Smaller community and a maturing ecosystem
- Authorization-only, so identity and governance sit elsewhere
Best fit: startup to mid-market developer teams that want managed fine-grained authorization fast.
Pricing: open-source is free; cloud plans from about $5/month for up to 25,000 monthly active users and 100 tenants.
Identity security and PAM platforms extending into authorization
The largest identity vendors are all moving into authorization, and their brand pulls them onto your shortlist. Each authenticates users or manages privileged access well, then adds authorization on top. The common gap is enforcement across data and agent output, and the binding between an agent and the human behind it.
6. Idira (Palo Alto Networks / CyberArk)
Idira is Palo Alto Networks' identity security platform, which Palo Alto launched in May 2026 as the rebrand of CyberArk after the acquisition. It extends CyberArk's privileged access management into machine and AI agent identities, and it centers on a Zero Standing Privileges model with a centralized control plane, discovery, and risk analytics. For a Palo Alto or CyberArk shop consolidating privileged access, it's a natural path.
The distinction PlainID draws is where enforcement lives. Idira leans on a separate product, Prisma AIRS, for AI enforcement, while PlainID ships a native Authorizer suite across APIs, data platforms, microservices, and agent frameworks. PlainID also binds the human and agent identity in every decision, so neither exceeds the other's live entitlements, and it authorizes each step of the agent flow rather than provisioning scoped privileges alone.
Strengths
- Deep PAM heritage from CyberArk, plus Palo Alto's portfolio and reach
- Zero Standing Privileges and machine and agent identity discovery
Watch-outs
- Very new as a combined platform; the story is still consolidating
- AI enforcement routes through a separate Palo Alto product
- Privileged-access heritage rather than cross-surface fine-grained authorization
Best fit: enterprises consolidating privileged access and identity on Palo Alto, and existing CyberArk customers.
Pricing: enterprise, quote-based. See Idira vs PlainID.
7. Okta
Okta is the leading independent identity provider, with more than 7,000 integrations and a strong workforce and customer identity story. Okta FGA, which came in through the Auth0 acquisition, adds relationship-based fine-grained authorization for application developers.
Okta answers "who are you." PlainID continuously answers "what are you allowed to do right now, in this context," and it does so without replacing your IdP. So the two work together: keep Okta for authentication and identity, and add PlainID for runtime authorization across AI, APIs, and data. Okta FGA is app-centric ReBAC that developers manage, where PlainID is enterprise PBAC across every surface with a single audit trail.
Strengths
- Universal identity layer with a large integration library
- Adaptive multi-factor authentication and solid developer tooling
Watch-outs
- Premium pricing and limited on-premises support
- Several separate products cover authorization (FGA, Token Vault, Identity Engine)
Best fit: organizations standardizing SSO and identity, with app teams using FGA for application-level authorization.
Pricing: workforce tiers from about $6/user/month. Compare in depth on Okta vs PlainID.
8. Auth0
Auth0, now part of Okta, is the developer-favorite identity platform, delivering authentication and basic authorization through clean APIs and SDKs. For deeper authorization, Auth0 offers FGA as a separate add-on. A team can stand up secure login and social auth in hours.
For access rules beyond RBAC, Auth0 asks you to implement a second product. PlainID instead applies one PBAC model across apps, APIs, data, and AI, and it binds the human and agent identity in every runtime decision. So Auth0 remains a strong customer-identity choice, and PlainID becomes the authorization layer once fine-grained control has to span more than the app.
Strengths
- Fast drop-in authentication with wide SDK coverage
- Extensible flows through Actions and Rules
Watch-outs
- Costs climb as you add advanced features
- Fine-grained authorization requires the separate FGA product
Best fit: developer teams that need customer identity and basic authorization quickly.
Pricing: free tier available; premium tiers roughly $35 to $150/month per 500 users, depending on use case.
9. Ping Identity
Ping is a heavyweight enterprise identity provider with strong federation, flexible deployment, and a large Fortune 2000 base, and the ForgeRock acquisition widened its reach. In March 2026 it released Identity for AI, a bundle of Agent IAM Core, Agent Gateway, and Agent Detection, and its Agent Gateway markets itself as a runtime enforcement layer for agent activity.
The language is close to PlainID's, and the timing is not. Identity for AI reached general availability in March 2026 with no agentic-scale references yet, while PlainID has more than a year of production and analyst presence in the agent-identity conversation. Ping is identity-first, which places authorization in a supporting role. PlainID is authorization-first, with native data-layer controls and a policy lifecycle interface Ping has no published equivalent for.
Strengths
- Large Fortune 2000 IdP base with strong federation
- Flexible cloud, on-premises, and hybrid deployment
Watch-outs
- Brand-new agent SKUs with a real customer-education burden
- No published data-layer authorization depth or policy lifecycle interface to match Policy 360°
Best fit: global enterprises with complex federation and existing Ping or ForgeRock estates.
Pricing: customer identity from about $35,000/year; workforce from about $3/user/month. Compare on Ping Identity vs PlainID.
10. CrowdStrike (SGNL)
CrowdStrike acquired SGNL in January 2026 and is folding its Zero Standing Privileges and continuous authorization capability into the Falcon platform, marketed through the CISO channel where CrowdStrike already dominates. The SGNL product is technically sound, and Falcon's real-time risk signals feeding access decisions is a genuine advantage for CrowdStrike customers.
The consideration is independence and breadth. Teams that would rather not consolidate identity security onto CrowdStrike have fewer options, and PlainID is one of the few independent, multi-vendor-neutral runtime authorization platforms left. PlainID also covers a wider surface, apps, APIs, data, and the agentic flow with native MCP and LangChain enforcement, than SGNL's human and non-human access heritage.
Strengths
- Enormous brand reach and CISO-channel presence
- Falcon risk signals integrated into access decisions
Watch-outs
- Post-acquisition integration into Falcon is still maturing
- Bundling authorization inside an endpoint-security platform creates an ownership mismatch for architecture teams
Best fit: CrowdStrike customers consolidating identity security on Falcon.
Pricing: part of Falcon licensing, quote-based.
Cloud platform IAM you probably already run
Your cloud vendor gives you identity and access primitives, and they're good ones. These pair with a cross-surface authorization platform rather than compete with it, so the practical move is to keep them and add the layer that spans all of them. PlainID integrates with each.
11. Microsoft (Entra ID and Azure RBAC)
Microsoft Entra ID is a cloud identity provider with a strong conditional-access risk engine, hybrid identity, and deep Microsoft ecosystem integration. Azure RBAC governs access to Azure resources. For Microsoft-centric organizations, it's the default identity backbone.
Entra handles authentication and coarse-grained role assignment well. PlainID reads Entra as an identity source and adds fine-grained runtime authorization across non-Microsoft applications, the data layer, and AI agents. So the two complement each other: Entra verifies and assigns, PlainID enforces at the moment of action across the wider estate.
Best fit: Microsoft-centric enterprises.
Watch-outs: premium licensing and coarse app and data authorization.
Pricing: Entra ID from about $6/user/month.
12. AWS (IAM, Cedar, and Verified Permissions)
AWS gives builders IAM for cloud resources, the open-source Cedar policy language, and Amazon Verified Permissions for application authorization built on Cedar. Cedar's automated reasoning is a real strength for teams that want to validate policies before production.
These are excellent primitives for AWS-native applications. They don't stretch to a cross-surface platform that spans multi-cloud apps, COTS data platforms, and AI across the enterprise. PlainID, available on AWS Marketplace, complements the AWS building blocks by carrying one authorization model across everything outside a single AWS app boundary.
Best fit: AWS-native application teams.
Watch-outs: AWS-centric, and Cedar is a new language to learn and maintain.
Pricing: Verified Permissions from about $0.00015 per request for the first 40 million requests.
13. IBM (Security Verify)
IBM Security Verify combines IAM with identity governance and AI-driven risk analytics, aimed at high-compliance enterprises already invested in IBM security. Governance depth and risk intelligence are its calling cards.
Verify is strong on identity and governance. PlainID adds the runtime authorization layer, fine-grained, policy-based decisions across apps, APIs, data, and AI agents, that governance-led IAM does not enforce at request time. The two fit together in large regulated environments.
Best fit: IBM-shop enterprises with heavy governance needs.
Watch-outs: involved deployment and a heavier interface.
Pricing: use-case based and quote-driven.
Identity and access governance
These names surface in "authorization" searches, and they answer a different question. Governance decides who should hold access and proves it to an auditor. It does not enforce what happens at request time. So read this category as complementary to runtime authorization, not a substitute.
14. SailPoint
SailPoint is the identity governance leader: access certification, provisioning, role management, separation of duties, and the full joiner-mover-leaver lifecycle. For proving that the right people hold the right entitlements over time, it's the reference standard.
Governance sets what access should exist. Runtime authorization decides whether a specific action should happen right now. PlainID enforces that live decision across apps, data, and AI, while SailPoint certifies and manages the entitlements behind it. Many enterprises run both: govern with SailPoint, enforce with PlainID.
Best fit: enterprises that need identity governance and access certification. Watch-outs: governance-focused, not runtime enforcement across data and AI. Pricing: enterprise, quote-based. Compare on SailPoint vs PlainID.
15. Veza
Veza maps effective access across systems with its Access Graph, showing who can take what action on what resource, and it drives access reviews and non-human identity governance. For visibility into real, effective permissions, it's a strong tool.
Veza shows and reviews access. PlainID decides and enforces it in real time. So Veza answers "who can do what across our systems," and PlainID answers "should this action happen, on this data, for this identity, right now," including inside the agent flow. The two solve visibility and enforcement, respectively.
Best fit: teams that need cross-system access visibility and posture. Watch-outs: visibility and governance rather than runtime enforcement. Pricing: enterprise, quote-based. Compare on Veza vs PlainID.
AI agent security posture
A new category has formed to secure AI agents, and it's worth understanding precisely. Posture and detection tools find risky agents and flag exposure.Gateway-style tools inspect agent traffic at a single chokepoint and filter what looks unsafe. Neither authorizes each action against enterprise policy in the flow.
16. Zenity
Zenity secures low-code, no-code, and AI agents, the Copilot Studio and Power Platform kind, by discovering agents, assessing their security posture, and flagging risks like data leakage and prompt-injection exposure. For an enterprise rolling out Copilot and citizen-developer agents, that visibility is valuable.
Zenity finds and assesses risky agents. PlainID authorizes what an agent does at each step: the prompt it acts on, the data it retrieves, the tools and MCP calls it makes, and the output it returns. So Zenity strengthens posture and detection, and PlainID enforces the access decision in the flow. Run together, they cover both sides.
Best fit: enterprises deploying Copilot and low-code agents that need security posture.
Watch-outs: posture and detection, not runtime authorization enforcement.
Pricing: enterprise, quote-based. Compare on Zenity vs PlainID.
PlainID takes a different route: one unified control plane that decides every agent action, the prompt, the data it retrieves, the tools and MCP calls it makes, and the output it returns, against the same policy that governs your apps, APIs, and data, and it binds the human and agent identity together. A native MCP Gateway is one of its enforcement points, and it connects back to that control plane rather than acting as a standalone filter. So these tools strengthen posture and detection, while PlainID authorizes the decision.
How to choose the right authorization layer
You've seen sixteen tools across five categories, and it comes down to one decision. Run every vendor through the same five questions and the shortlist sorts itself.
- Which surfaces does it cover? One application, or apps and APIs and data and AI agents under one policy. Reach is the difference between a library and a platform.
- How does it enforce? Authenticate, govern over time, decide a single request, or enforce at runtime. Match the tool to the job you actually have.
- How does it hold up at agent speed? Agent traffic is high-volume and machine-fast. Enforcement close to each system keeps decisions in milliseconds.
- Can an auditor read the decision? Business-readable decision logs and a full audit trail turn a compliance review from a project into a query.
- How does it handle AI agents? Look for control across the prompt, the retrieved data, the tools and MCP calls, and the generated output, plus binding between the agent and the human behind it.
For most development teams adding access control to one application, a developer-first tool like Oso, Cerbos, or Permit.io moves fastest. For an enterprise standardizing authorization across apps, data, and AI agents, a runtime platform like PlainID or Axiomatics carries the breadth and audit depth the others don't. And if you already run Okta, Entra, Ping, or a cloud IAM stack, the question is not which to replace. The question is which runtime authorization layer to add on top.
Cover what happens after authentication
Your identity provider verifies the login. You have solved that part. The exposure lives in everything that happens after, when an application, an API, or an AI agent acts on that identity and reaches for data.
PlainID governs that layer. It enforces one policy across apps, APIs, data, and agentic flows, in real time, for human, non-human, and AI agent identities, and it records every decision in language your auditors can read. You keep the identity stack you already run, and you close the gap between who logged in and what they, or their agents, can actually do.
See how runtime authorization works across your own environment, and where it fits alongside the tools you already have. Request a PlainID demo.
