How we label claims. Live = running in production. Live-proven = running in production and exercised end to end by production acceptance and continuous security testing. Supported = available, used where the topology calls for it. Early Access = real, off by default, on request. Roadmap = planned, not shipping. Vision = direction, not a feature. We never describe an emerging capability as if it ships today.
The idea
A change can be authorized and still be dangerous. Your pipeline confirms the actor is allowed to make a change; it cannot tell you the service being changed is mid-incident, or that the change would exceed the namespace’s quota the moment it lands, or that the artifact was never evaluated. ChangeGuard AI makes the change the primary object. It evaluates a proposed change against the live state of the environment it will land in and returns a judgment before the change executes. When a change is authorized, it binds that authority to a short-lived Permit, lets an Executor carry out only the permitted action, and records what actually followed against the change that caused it.Judgment, Permit, Executor, Observation
Advise and Auto
Authority is a per-environment decision with two modes. Advise (the default): ChangeGuard can diagnose, prepare and execute, but a human authorization must exist before anything executes. Auto (opt-in): it acts only inside an explicit policy — namespaces, fix types, a confidence floor, an hourly cap — and falls back to Advise outside it. Autonomous-capable by design, human-controlled by default. Details — Live-proven.Fleet, Edge and the Executor
- Fleet — the centralized evidence plane. ChangeGuard reads your Kubernetes API from outside, over read-only access you authorize through AWS Account Center. Nothing to install. Live.
- Edge — an optional local-evidence extension: a small read-only collector for signals that need presence on the node, or clusters that can’t be reached centrally. Never required for judgment or execution. Supported.
- Executor — the governed action plane, above. Inert without a Permit.
The rest of the product
What ChangeGuard AI does not do today
- It does not learn from every change. The outcome record is instrumented — a verdict is recorded before a change and what followed is recorded after — so that prediction can be measured against reality. No model, threshold, policy or prompt is modified by an outcome. Recall of similar past incidents (Early Access) is retrieval, not retraining.
- It does not act on its own by default. Every environment starts in Advise. Auto is opt-in and policy-bounded.
- It does not cover infrastructure beyond Kubernetes. Terraform, IAM, cloud resources, networking and databases are vision, not shipping capability.
- It does not hold a certification. SOC 2, ISO 27001 and FedRAMP are not claimed. See Testing and assurance for what is proven.