Skip to content

Blog

502 posts · Page 2 of 42

Kubernetes

How to audit AI agent actions in Kubernetes

Give each AI agent its own service account, then write an audit policy that names that account. Without a policy file, the API server logs nothing at all.

6 min read

Kubernetes

AI agent threat model for Kubernetes

A threat model for AI agents in Kubernetes maps each path an agent pod can reach to the admission, token, RBAC or network control that blocks it, per agent.

7 min read

Kubernetes

RBAC for AI agents in Kubernetes

Give each AI agent its own service account, bind it to a narrow Role, and point its pod at that account. RBAC has no deny rules, so grants are the limit.

5 min read

Kubernetes

How to sandbox AI agents on Kubernetes

Run each AI agent in its own Pod with a hardened security context, default-deny egress and a RuntimeClass, with lifecycle managed by Agent Sandbox CRD.

6 min read

AI

What is agent identity?

Agent identity gives each AI agent its own auditable principal. A Kubernetes service account names a workload, but cannot show which agent acted or for whom.

5 min read

Kyverno

Kyverno policies for AI agents

Kyverno policies for AI agents: enforce Pod Security Restricted controls on agent pods at admission with a ValidatingPolicy, then test the policy with the CLI.

6 min read

AI

How to allowlist MCP servers in Cursor

Allowlist MCP servers in Cursor by command or URL pattern in the team dashboard, then limit tools and network access for each server. Enterprise plans only.

6 min read

AI

Measuring the value of AI coding agents

Claude Code's docs count usage, cost, PRs and accepted lines, not value. Record an outcome baseline before rollout, then compare the vendor counts against it.

5 min read

Stay up-to-date with the latest in AI, governance, and infrastructure

Subscribe to our free monthly newsletter to get industry news, DevOps tips, and articles right to your inbox on Kyverno, containerization, Kubernetes deployment & management and more.