Your agents inherited your developers' keys.
Nobody put a ceiling on them.

ACE is the governance layer between the copilot and your infrastructure. Route, govern, audit — vendor agnostic.

The Governance Gap

This isn't theoretical. It's measured.

84%
of developers use AI tools
SyzygySys Market Research 2026
29%
trust the output
SyzygySys Market Research 2026
92%
lack visibility into AI identities
SyzygySys Market Research 2026
70%
of agents have more access than a human in the same role
Teleport State of AI Security 2026

Three-Directional Security

Govern inside. Protect from outside. Prevent exfiltration.

Traditional access control asks "can this agent reach this service?" ACE asks "can this agent return this content to this requestor at this sensitivity level?"

See how it works →

Architecture

The missing layer in Platform Engineering

Your tools on the right already work. Your copilots on the left already work. What's missing is knowing what happens when they talk to each other — and governing it.

ACE Platform spine architecture diagram

How It Works

Route. Govern. Collaborate.

Route

Agents declare intents. CROWN routes to the best provider by policy — local model for cheap tasks, cloud for hard ones. Swap providers by updating a routing weight, not rewriting code.

Govern

Every boundary crossing inspected. Seven-factor evaluation. Content-aware sensitivity ceilings. Start with full human oversight on day one. Earn autonomy as evidence accumulates.

Collaborate

Agents talk to agents through governed channels. Human-in-the-loop gates on high-impact actions. Every collaboration auditable with tamper-evident provenance chains.

Explore the Architecture

Integration

Everything you've built still works. Now it's governed.

GitHub Copilot
Cursor
Claude Code
Custom Agents
ACE Route · Govern · Audit
Terraform / OpenTofu
Kubernetes
GitHub Actions / GitLab CI
AWS / GCP / Azure

Works with your identity provider. Works with your agents. Works with your infrastructure.
SMB? It's built in. Enterprise? Plug into what you're already running.

Graduated Trust

Start with oversight. Earn autonomy.

The bounded autonomy framework, implemented.

Golden Paths

Route

Curated, policy-optimal paths to tools and providers. Agents follow the golden path by default.

Guardrails

Govern

Content-aware boundary inspection. Sensitivity ceilings. Agents can't exceed what policy allows.

Safety Nets

Contain

Human-in-the-loop gates, circuit breakers, rollback. Failures are caught, not cascaded.

Audit Trail

Prove

Hash-linked provenance chains. Reconstruct exactly what any agent saw, decided, and did.

Compounding Value

Four flywheels. Each one accelerates the others.

Governance isn't a gate — it's a flywheel. Every governed action deposits knowledge, builds trust, and unlocks autonomy. The platform gets stronger with use.

Research

Why "Same Access as the User" is an anti-pattern

Granting agents identical standing access as human operators represents weak control design. It increases blast radius, weakens accountability, and sits on the wrong side of regulatory trajectory across EU, UK, and North American frameworks.

Read the Whitepaper See the Market Research

A suite of integrated services, governed and built with the solution we ship.

EU AI Act Self-Assessed Compliant — Regulation (EU) 2024/1689, Limited Risk GDPR Privacy by Design — Regulation (EU) 2016/679, Articles 25 and 28