Obiguard gives AI product and platform teams the registry, policy engine, and review workflow to govern agents confidently — without slowing down the iteration cycle.
Every registered agent already has a Policy Set attached, so a new prompt change is inspected the moment it ships — not reviewed after the fact in a meeting your team has to schedule.
Every agent your org has shipped lives in a single registry with an owner and a policy attached — so the question has an answer without a Slack thread.
Update a Policy Set once and every instance of that agent picks it up immediately — so a fix after an incident is a policy edit, not a release.
The same registry and audit trail that lets your team ship confidently is what Security, Risk, and leadership read from directly — instead of you assembling a status update by hand.
This page is the outcome, by role. For the walkthrough of the registry, Policy Sets, and the Review Queue, see Agentic AI Governance. To see how Risk & Compliance uses the same evidence, see For Risk & Compliance — all part of Governance AI.
