All Or Nothing.
Block agents and your team stalls. Trust them and you've handed over the keys. There is no middle ground.
Real-Time Access Governance For Your AI Agents.
The policy layer between your agents and your apps to control all agentic access. Every agent action evaluated, every credential mediated, every decision logged.
The Problem
Agents Have Access Across Your Stack. Who's Controlling Their Permissions?
No Accountability Chain.
Today, there is zero audit log for AI agents. When your agent acts, the log records you. That's not an audit. It's a list of names.
Shadow AI.
HR offboards humans. IT revokes their access. The agents they set up keep running forever.
The Solution
The First Access Governance Layer Built For AI Agents.
Every agent action passes through a runtime policy gateway before it can access your apps. Evaluated, approved or denied and logged.
Define What Your Agents Can Do. And What They Can't Do.
Set per-action rules: reads auto-approve, writes escalate, destructive actions deny. The MCP Gateway enforces your rules in real time. Build visually or in code.
Your Agents Never See Real Credentials.
Tokens always stay in the Cakewalk vault. The gateway pulls tokens per tool call, injects them at proxy time and holds no credentials between calls. A prompt-injected agent leaks a reference ID, not a key.
Just-In-Time Access, Scoped To The Task.
Apply least privilege to agents the same way you apply it to humans. Each agent gets exactly the access the task needs, only as long as it needs it, revoked the moment the work is done. No standing permissions to forget about.
When Humans Get Offboarded, Their Agents Get Offboarded Too.
Every tool call records the human who delegated, the agent that ran and the policy that fired. Immutable proof, on tap. Offboard the human in your HRIS and the agents get revoked too.
Every Agent. One Catalog. One Kill-Switch.
Cakewalk discovers every agent your team runs, across any platform: Cursor, Claude, Copilot, ChatGPT and the long tail. One catalog, one policy set, one place to kill the lot. Shadow AI becomes sanctioned AI.
How It Works
From Prompt To Audited Action. In Under A Second.
Every agent action passes through a runtime policy gateway before it can access your apps. Evaluated, approved or denied and logged. For every single agent job.
Integrations
Works With The Tools And Agents You Already Use.
350+ integrations across your stack. Govern any AI agent and control their access without replacing anything.
AI Agents
Connections
Resources
Want To Know More?
Explore the thinking behind Cakewalk. From the problem we solve to the story of why we built it.
Runtime Governance: The Missing Layer for Agent Access
Five industry responses are shaping agent identity and authentication. None governs what agents do at runtime. This article maps the gap and the four architectures that could fill it.
Human → Agent → System: A Working Model for Governing Agent Access
How a line on our 2023 roadmap became security’s biggest unsolved problem and led to the access layer we are now building.
The New Frontier in Identity Security: AI Agent Access
International Data Corporation (IDC) projects actively deployed AI agents will exceed one billion worldwide by 2029.[1] That is not a distant forecast. Machine identities already outnumber human identities 82 to 1 across organizations worldwide.[2] Microsoft Copilot Studio and SharePoint users
In The News
Sifted AI 100
"Recognized by Sifted as one of Europe's top 100 rising AI startups."
High Performer
"Absolutely game changing for JML management"
Easiest Setup
"Cakewalk helps us to run employees access from one simple place"
Easiest to do business with
"Easy. Super reliable. Love it."
Fastest Implementation
"Effortless UX, super valuable!"
Best support
"Best product for fast-moving tech companies"
Get Early Access.
Cakewalk's agent access management is open for early access. Drop your email and we'll get you set up.
