Blog
AI agent governance, explained.
Guides on governing what AI agents are allowed to do — action authorization, guardrails, evals, and how runtime governance differs from the observability tools you already use.
Guide · 8 min
What is AI agent governance?
A precise definition, why it matters now that agents take actions, and the four pillars: action authorization, guardrails, evaluation, and audit.
Comparison · 7 minRuntime governance vs. LLM observability: do you need both?
Observability tells you what your agent did; governance decides what it's allowed to do. The difference, a side-by-side, and why most teams need both.
See it in action
Watch the same agent, on a real open-source model, run with and without Parapet — one wipes a database, the other is denied in-process.