Patterns, scenes, and what we learned shipping agents in regulated environments.
You stop an AI agent before it acts with a gate outside the model. Block high-impact actions until policy and a human say yes.
"Human in the loop" means little when an agent acts in milliseconds. What works instead is an authority ladder that sorts actions by what they cost to undo.
AI governance stalls when four teams each hold a defensible piece of it. A federated model fixes that: one center owns the standard, the units execute.
A practical guide to securing AI agents. What good governance looks like and how to start this quarter. Free.
One short note when we publish. No marketing list. No drip campaign.
