The control plane for AI agents
Agents act.You decide.
Boundaries finds every AI agent, MCP server, and coding assistant running across your clouds and developer machines — then controls what each one is allowed to do, proves the policy actually held, and shows what it all cost.
One platform, five stages
See it. Scope it. Stop it. Show it. Bill it.
Every AI agent gets an identity, a boundary, a receipt, and a bill — from first discovery through the action it takes at 2 a.m.
Decide every action, in real time.
- Allow, deny, or step up to a human — checked per action, not per API key
- A gateway for cloud agents; native hooks for Claude Code, Cursor, Codex, Kiro, and Windsurf
- Guardrails engineers don't route around, because the workflow doesn't break
aws s3 sync ./dist s3://prod-assetsOne screen
Posture, drift, proof, and price.
Security, engineering, and finance look at the same picture: what's running, what it can reach, whether policy held, and what it cost.
- 87
- Governance posture
134-detector catalog - 1,240
- AI assets
- 62
- Shadow AI
- 1,160
- Under policy
- 99.9%
- Policy held
- $38K
- AI spend MTD
Illustrative — sample data.
Coverage
Wherever your agents run.
One control plane across cloud, workspace, and the developer's laptop — no per-vendor console.
Cloud & AI platforms
Coding agents
Workplace & SaaS
Standards & infra
Next
Built for
The work you actually do.
Show examiners which agents reach cardholder data, and prove the guardrail held at runtime.
Read more →HealthcareSurface every agent that can touch PHI, with enforcement records clean enough for review.
Read more →TechnologyEngineers keep Claude Code, Cursor, Codex, Kiro, and Windsurf; security gets proof policy held.
Read more →Public sectorAccountability per automated action, with evidence the boundaries were enforced.
Read more →See it run against your own estate.
A private demo on your AWS, Azure, GCP, and developer environments — findings in the first session.