One set of rules, from the pipeline to the AI agent.

Pick the problem you're working on. Each solution runs on the same Kyverno policies, enforced in CI, at admission, at the AI gateway and at runtime, with one audit log behind all of it.

Find your starting point

AIControls

AI Agent Governance
Set which tools, MCP servers and models each agent can use, and how much each team can spend. A call outside policy is stopped at the gateway, before any tokens are spent.
Explore AI Agent Governance→

• Allow, deny or hold for approval on each model and tool call
• Token budgets per team and per agent, with cost attribution
• One audit log for agent decisions and Kubernetes policy results

Continuous Compliance

Pod Security, CIS and NIST controls enforced in every cluster
Learn more: Continuous Compliance→

Shift-Left Guardrails

Kyverno checks on Terraform, Helm and manifests in CI
Learn more: Shift-Left Guardrails→

Software Supply Chain Security

Signature and SBOM checks before an image runs
Learn more: Software Supply Chain Security→

Automated Remediation

Policy violations turned into pull requests
Learn more: Automated Remediation→

Built on Kyverno

Built on Kyverno, the CNCF-graduated policy engine Nirmata created. Kyverno runs in production at Bloomberg, Coinbase, Deutsche Telekom, LinkedIn, Spotify, Vodafone and Wayfair.

Go deeper

Free Whitepaper Governing AI Agents in Kubernetes
The threat model for agents already running in your clusters: 9 documented attack paths, 4 control points and 8 questions to ask of your own cluster.

Enforced at runtime, not documented afterwards.

Bring a cluster. In a short working session we'll show what your current policies catch and what gets through. Nothing is enforced until you turn it on.