Your agents can change production. Make sure they only change what you allow.

PolicyLayer is the gateway your MCP traffic runs through. Connect your cloud and infrastructure servers and every change is checked against your policy before it reaches AWS, Vercel, or Kubernetes.

PROTECT PRODUCTION → Free to start. No card required.

For platform and security teams running AI agents in production.

// THE PROBLEM

An agent with infrastructure access is one command from an outage.

It rarely looks reckless. It looks like cleanup.

The agent holds the keys to prod

Connect AWS and the agent can terminate_instance, delete_bucket, and change DNS, across every environment.

The instruction hides in a ticket

An alert reads "clean up the old prod bucket." The model cannot tell prod from staging.

It just runs

A production bucket is deleted, and recovery turns into a war room.

// THE SURFACE AREA

The infrastructure tools agents reach for.

These are the calls a cloud MCP server hands your agent. PolicyLayer governs every one.

AWS

delete_resource CRITICAL
tf_destroy CRITICAL
cancel_logs_insight_query CRITICAL

Cloudflare

r2_bucket_delete CRITICAL
d1_database_delete CRITICAL
kv_namespace_delete CRITICAL

Azure

deploy HIGH
loadtesting HIGH

GCP

run_gcp_code HIGH
select_project HIGH

Browse every destructive tool →

// HOW POLICYLAYER WORKS

PolicyLayer sits between your agents and production.

Drop PolicyLayer into your MCP request path. Your agents keep their tools. You keep control. Core concepts →

⬡

AGENT

Calls tools via MCP

tool_call

◆

POLICYLAYER

Enforces before execution

ALLOW DENY RATE-LIMIT APPROVE

if allowed

⬢

MCP SERVER

Stripe, AWS, Postgres...

Add Stripe, GitHub, Postgres, Slack, AWS, or any other MCP server.

Define policy

Set defaults, rate limits, denials, approvals, hidden tools, and argument-level conditions.

Issue grants

Give each person, agent, CI job, or environment its own scoped token tied to a named policy.

Connect client

Paste the PolicyLayer proxy URL into your MCP client config. Agents keep the same tools. PolicyLayer enforces your rules before calls execute.

// ON EVERY CALL

What PolicyLayer enforces, on every call.

Production lockdown

Block changes to anything tagged prod by default. Allow dev and staging freely.

Per-identity scopes

Each person or agent's token carries only the resources and regions you grant.

Argument-level rules

Inspect the call: deny any resource tagged prod, lock changes to one region, require a change-ticket id. Writing policies →

Rate caps

Cap destructive actions an hour, so a loop can't cascade across your fleet.

Deterministic, deny by default

Rules run as code, first denial wins. The same call gets the same decision every time.

// POLICY EDITOR

You decide what every change can touch.

Build policy around the fields that matter (environment, region, resource tag) in the visual editor. Allow, deny, rate-limit, or require approval, per tool. Writing policies →

PolicyLayer visual policy editor with allow, deny, hide and custom rules

Protect prod

Deny any action on resources tagged production.

Region lock

Allow changes only in eu-west-1.

Require a ticket

Destructive actions must carry a change-ticket id.

Approval to delete

Instance and bucket deletes wait for a human.

Throttle deletes

No more than 5 destructive actions an hour, per token.

// THE PLATFORM

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 →

Live in minutes

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

Quick start →

//FAQ

Infrastructure and MCP questions.

Does PolicyLayer slow down infrastructure calls?+

Policy is evaluated in memory before the call is forwarded, so the overhead is negligible. Allowed calls pass straight through to your cloud provider.

Where do my cloud credentials live?+

Upstream credentials are encrypted at rest and injected by the gateway. Your agents only ever hold a scoped token, never your cloud credentials.

Do my agents lose any tools?+

No. Agents keep the same tools and schemas. PolicyLayer enforces policy on each call (allow, deny, rate-limit, or require approval), apart from any tools you deliberately hide.

Can I see what my agents actually did?+

Yes. Every call through the gateway is logged with the tool, its arguments, and the allow or deny decision. State-changing dashboard actions are recorded in a separate admin audit log.

Can I revoke one agent without disrupting the others?+

Yes. Each agent or automation connects with its own scoped grant token. Rotate or revoke any grant on its own and the rest keep working.

Let agents run infrastructure without risking production.

Production lockdown, region locks, argument-level rules, and a tamper-proof audit log on every infrastructure call. Route your existing cloud MCP servers through the gateway, live in minutes.

PROTECT PRODUCTION →

Free to start. No card required.