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PolicyLayer vs Permit.io

Both govern what AI agents are allowed to do. Permit.io is a fine-grained authorisation platform you embed and model: RBAC, ABAC, and relationship-based access built on open policy engines, with a drop-in MCP gateway. PolicyLayer is a turnkey, MCP-native gateway: deterministic policy on every tool call, with rules already written for your servers. Here is where each one fits.

GOVERN YOUR MCP CALLS → Instant setup, no code required.

The short version.

Permit.io is a platform to build authorisation into systems you operate. PolicyLayer is a ready-made control plane for the MCP servers you already consume.

PolicyLayer

PolicyLayer is the hosted gateway your MCP traffic runs through. Connect your servers and every tool call is checked against deterministic, deny-by-default policy before it executes: allow, deny, rate-limit, or require approval, with argument-level rules and a per-call audit log. It is MCP-native, ships recommended policy pre-classified across 220,000+ catalogued tools, and needs no policy engine to model or operate.

Permit.io
Authorisation platform for apps and agents

Permit.io is an authorisation-as-a-service platform for fine-grained access control across apps, APIs, and agents. It is built on open engines (OPA and Rego, with OPAL for real-time policy sync) and supports RBAC, ABAC, and relationship-based access. Its MCP Gateway is a drop-in proxy that adds agent identity, OAuth consent, per-tool authorisation, and audit, with policies modelled in Permit and enforced by policy decision points you run hosted or in your own environment.

Side by side.

A platform you build on, versus a control plane that is ready for your MCP fleet.

  PolicyLayer Permit.io
Primary job Enforce deterministic policy on every MCP tool call across the servers you run Provide a fine-grained authorisation layer you embed across apps, APIs, and agents
Policy engine PolicyLayer's own deterministic policy, no engine to operate OPA and Rego, with OPAL for real-time policy distribution
Authoring Visual editor and JSON; recommended policy ships out of the box Model RBAC, ABAC, or relationship-based policy (Rego under the hood)
Granularity Per tool and per argument (deny refunds over $1k, block DELETE without WHERE) Per resource, role, attribute, and relationship; per-tool at the MCP gateway
Starting policy Recommended rules pre-classified across 220,000+ catalogued tools Model your own policies; the MCP gateway can generate a starting policy from a server
MCP coverage MCP-native: gateway, server and tool directory, per-tool risk classification MCP Gateway proxy alongside a broader app and API authorisation platform
Identity Per-person and per-agent scoped grant tokens routed through the gateway Agentic identity bound to a verified user via OAuth, with your IdP
Approvals Allow, deny, rate-limit, or require approval on any call Access Requests and Approvals product, with embeddable approval UI
Audit Every call logged with the tool, its arguments, and the decision Decision logs and traces across users, agents, tools, and policies
Deployment Hosted gateway; route your servers through it, no PDP to run Hosted control plane plus policy decision points you run hosted or self-hosted
Best fit Teams consuming MCP servers who want control without building authorisation Teams building their own apps and agents who need to embed authorisation

Where each one fits.

Choose PolicyLayer when

You consume MCP servers, you do not build the platform

You route Claude Code, Cursor, or Codex through MCP servers and want one place to enforce and audit policy, without modelling an authorisation system.

You want argument-level rules out of the box

Deny a refund over a threshold or a DELETE without a WHERE clause, starting from recommended policy rather than authoring Rego.

You have no platform team to run a PDP

PolicyLayer is hosted, with no policy engine or decision points to operate.

You want MCP-native context

A server and tool directory and per-tool risk classification, built for MCP rather than added to a general platform.

Choose Permit.io when

You are building your own agentic apps

You need an authorisation layer embedded across your apps, APIs, and agents, not only at an MCP gateway.

You need RBAC, ABAC, and relationship-based access

Your model requires a relationship graph and attribute-based rules across many resource types, with a policy engine you control.

You want one authorisation system everywhere

You want a single platform governing humans and agents across every system, with a team to model and operate it.

Using both

They can complement each other. Permit.io can model identity and authorisation for the apps and agents you build; PolicyLayer enforces deterministic, argument-level policy on the MCP tool calls those agents make against the servers you run.

Deterministic policy on every MCP tool call, with rules already written for your servers. No engine to model. Live in minutes.

Not just rules. A platform.

Whatever your agents touch, the same engine, audit, and access model is doing the work underneath every rule you write.

Deterministic engine

Rules run as code, not model judgement: argument-level conditions, quotas, deny-by-default. The same call gets the same decision every time.

Writing policies →

Separation of duties

Your security or compliance team writes and attaches policy without ever holding the upstream credentials or grant tokens.

Roles →

Tamper-proof audit

Every call is logged with its decision and the rule that fired, attributed to the identity, in an append-only record. Argument values are redacted, never stored.

Logs & security →

Credentials never reach the agent

Upstream secrets are encrypted at rest and injected by the gateway. The agent only ever holds a scoped token.

Logs & security →

Per-identity access

Every person and agent connects with its own scoped grant. Rotate or revoke any one of them instantly, without disrupting the rest.

Core concepts →

Live in minutes

Hosted gateway. Point your clients at it, register a server, issue a token. Nothing to install.

Quick start →

PolicyLayer and Permit.io questions.

Is PolicyLayer an authorisation platform like Permit.io?+

No. Permit.io is a general authorisation platform you embed and model across apps, APIs, and agents, built on OPA and Rego. PolicyLayer is a turnkey, MCP-native gateway that enforces deterministic policy on every tool call, with recommended rules out of the box and no policy engine to operate.

Do I have to write Rego with PolicyLayer?+

No. PolicyLayer policies are authored in a visual editor or as JSON, and recommended policy ships pre-classified across 220,000+ catalogued tools. Permit.io compiles policy to Rego or Cedar depending on the engine you choose.

Does PolicyLayer do per-argument rules?+

Yes. PolicyLayer evaluates the call and its arguments: deny a refund over a limit, block a DELETE without a WHERE clause, require approval on a specific call. Permit.io governs at the resource, role, attribute, and relationship level, and per tool at its MCP gateway.

Can I use both?+

Yes. Permit.io can model authorisation for the apps and agents you build, while PolicyLayer enforces deterministic, argument-level policy on the MCP tool calls those agents make.

A control plane for your MCP fleet not an engine to build on.

Deterministic, deny-by-default policy on every MCP tool call: approval gates, per-identity scopes, argument-level rules, and a tamper-proof audit log, with recommended policy out of the box. Route your existing MCP servers through the gateway, live in minutes.

Instant setup, no code required.

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