Cloud Edition
Unpredictable AI agents need deterministic control. Automate guardrails with an AI governance loop to enforce trusted Kyverno policies across every model call and tool execution.






WWrite rules in Kyverno CEL and enforce them everywhere: in the pipeline, at admission, at the gateway, and at runtime. Every decision streams into a single audit log. Agents can recommend and explain; only the engine ever enforces.
Catch violations at the source. Block non-compliant PRs before merge.
Nirmata ScannersControl what enters the cluster. Enforce rules at the API server before resources run.
Enterprise KyvernoSecure every model call, MCP connection, and agent interaction across the wire.
AIControls GatewayKernel-level detection and behavioral enforcement for active workloads.
Nirmata RuntimeFires only when no policy matches on a call. Returns a bounded verdict — never blocks on its own.
Reviews every decision across the fleet. Drafts policy and config changes — a human always promotes them.
Govern your clusters, your AI agents, or both—one engine, one syntax, one audit log, no matter where you start.
Fleet-wide governance from day one—on the engine you already run.
Explore cluster governance →Extends your existing Kyverno policies to the AI stack—not a new system to learn.
Explore agent governance →The skills, policy pipelines, and compliance rules your team built for Kubernetes carry directly over to AI workloads.
"We found agents in our clusters nobody had told us about. That's the part that kept me up. Now nothing reaches a model without an identity attached and a policy decision behind it."
— Platform Lead · Large RetailerWe now have identity-based authorization in front of every AI call — enforced with the same Kyverno policies already enforced across our clusters.
Read the solution brief →Talk to us about governing your clusters, your agents, or both—one engine, one audit log, no matter where you start.