Agentic AI governance is the set of controls for AI agents that take actions on their own, such as writing and committing code, calling APIs or changing infrastructure. It defines what an agent may do, which approvals it needs, how its actions are verified and logged, and how to stop it when something goes wrong.
Agents raise the stakes compared with chat assistants. An assistant suggests code that a person reviews. An agent can open a pull request, respond to review comments and, with the wrong permissions, push changes into a deployment pipeline.
Core controls include least-privilege permissions, human approval for high-impact actions, full audit logs, and automated guardrails that agents can’t bypass. For infrastructure code, the strongest guardrail is a deterministic CI/CD gate. Steampunk Spotter verifies agent-written Ansible and Terraform code at that gate, before any execution platform runs it.
