IAM for AI agents
Every AI agent needs its own identity.
Connect your services once—Stripe, Vercel, Cloudflare, and more. Give every AI agent scoped access with read and write controls, log every credential request, and revoke anytime without rotating a single key.
No credit card required.
API keys encrypted with AES-256-GCM and never exposed to the browser.
Credential Activity
Last 24 hoursAccess Profile
cursor-agent
Access Denied
BlockedRequest blocked automatically. No key exposed.
You have IAM for your team. Not for your agents.
You wouldn't give a new hire unrestricted access to every system on day one. You give them only what they need — the principle of least privilege. You review sensitive actions. You know what they've accessed. And when they leave, you remove their access.
AI agents deserve the same controls.
Gazebo brings credential management to every AI agent — scoped identities, read/write controls, and a complete audit trail so you can safely deploy agents across your production systems.
Without Gazebo
With Gazebo
AI agents shouldn't share API keys.
Without Gazebo, agents inherit whatever access the credential allows. If that credential can delete infrastructure, modify production data, or spend money, so can the agent.
How it works
Gazebo is the access control layer between your agents and your APIs.
Scoped credentials · Access policies · Audit trail
Contain the blast radius.
Gazebo is the credential broker between your agents and your APIs — each agent gets a scoped token, the real key stays in the vault. One agent reads Stripe. Another updates Cloudflare DNS. A third manages Vercel environment variables. Each is blocked from everything else. If one is compromised, its policy limits the damage — not your API key.
Revoke any agent. Instantly. Without touching your keys.
When an agent exceeds its scope or a project ends — revoke it in one click. The token is invalidated immediately. Your Stripe, Vercel, and Cloudflare credentials stay untouched. Every other agent keeps working. No key rotation required.
Know exactly what happened — and who did it.
Gazebo records which agent made the request, which service it accessed, which operation it attempted, and whether it was allowed or blocked. When something breaks, you don't hunt through logs. You already know.
Add agents without losing sleep.
The goal isn't to lock everything down. The goal is to move faster with confidence. Spin up a new Cursor agent. Try Claude Code. Experiment with a different model. Bring on a contractor. The permissions are already defined. The tokens are already scoped. The audit trail is already running.
Get started freeMCP native
No rewrites. Works with the agents you're already using.
Every agent identity gets its own bearer token for Gazebo's MCP endpoint. Drop it into Cursor, Claude Code, or any MCP-compatible client — the token carries the agent's permissions automatically. No custom integrations. No new permission systems to manage. No rewriting your tools.
MCP endpoint
POST https://app.gazebohq.com/api/mcp
Authorization: Bearer ag_••••••••
Cursor
Drop the MCP URL into Cursor settings — done
Claude Code
Add as an MCP server; permissions travel with it
Custom agents
Standard MCP protocol — any client works
Your own tools
Direct API — call the agent endpoint with its token, get back the credentials it's been granted
Workflows
Configure infrastructure using natural language.
Describe what you want. Gazebo generates a step-by-step execution plan showing exactly which API calls will be made before anything runs. Review the plan. Approve it. Gazebo executes it safely.
Try a workflowAI-planned steps
Describe the outcome you want. Gazebo breaks it down into discrete, reviewable API steps — no guessing what will happen.
Approval gated
Nothing runs in your production environment without your explicit sign-off. Every step is visible before execution starts.
Instant execution
Once approved, Gazebo connects to your services and configures them via direct API — webhooks, DNS records, environment variables, and more.
Stripe Payment Monitor
42 installsMonitors failed payments and opens a GitHub issue automatically.
Requesting access to
Your credentials are never shared with the agent author. All access is logged and you can revoke at any time.
Share agents
Share agents the way OAuth made apps shareable.
Publish any agent with a declared scope. Anyone with the install link sees exactly what it needs before approving — and grants access from their own services, not yours. You never touch their credentials.
Frequently asked questions
What is IAM for AI agents?
IAM (identity and access management) for AI agents applies the same principles you already use for employees — scoped permissions, audit logs, and revocable access — to the AI tools and agents that call your APIs. Instead of handing an agent your full Stripe or GitHub key, Gazebo gives it a scoped identity that can only do what you've explicitly allowed.
How is Gazebo different from a secrets manager?
A secrets manager (like HashiCorp Vault, AWS Secrets Manager, or 1Password) stores your credentials securely. Gazebo sits on top of that: it's the access-control and audit layer that decides which AI agent can retrieve which credential, logs every retrieval, and lets you revoke one agent's access without rotating the underlying key.
What happens if an AI agent is compromised?
The damage is bounded by that agent's access profile, not by everything your API key can touch. If a Cursor agent only has scoped access to Stripe webhooks, a compromised agent can't reach your Vercel environment variables or Cloudflare DNS. You can also revoke its access instantly from the dashboard — no key rotation required.
Do I need to rotate my API keys to revoke an agent's access?
No. Gazebo issues each agent its own scoped token, separate from your underlying service credentials. Revoking an agent's access invalidates its token immediately — your actual Stripe, GitHub, or Vercel API key stays unchanged and every other agent keeps working.
Does Gazebo work with MCP-based agents like Cursor and Claude Code?
Yes. Every access profile exposes a standard MCP endpoint you can drop directly into Cursor, Claude Code, or any MCP-compatible client. The permissions you define follow the agent automatically — no extra configuration needed.
Can I give one agent read-only access while another has full write access?
Yes. Gazebo lets you define read/write controls per agent per service — you can allow one agent to GET Stripe data while blocking it from creating webhooks, and allow a separate agent to POST to Cloudflare DNS while keeping everything else off-limits. Permissions follow the HTTP method (GET, POST, PUT, DELETE), not just the service.
From the writing
All postsIAM for AI Agents: Identity Architecture Explained
The identity architecture for autonomous agents: scoped profiles, brokered credentials, approval gates, and lifecycle controls beyond human IAM.
July 11, 2026API Credential Management: Storage, Scope, and Rotation
A systems guide to storing, scoping, rotating, and revoking API credentials, including the additional controls autonomous agents require.
August 2, 2026PCI DSS for AI Agents: Requirements 7, 8 & 10
PCI DSS does not exempt AI agents. A practical guide to scoping agent access, applying least privilege, managing credentials, and producing audit evidence for payment workflows.
September 1, 2026AI Agent Incident Response: Compromised Credentials
A four-step playbook for when an AI agent credential is compromised — contain by revoking the agent's token (not the key), assess blast radius from the audit log, decide on notification, then harden before restoring access.
August 27, 2026Set permissions once. Know what's happening. Ship faster.
The API security layer for every AI agent you run. Scoped identities. Access policies. Complete audit trails.
Connect your first agent in minutes.
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