Solutions · AgentsFor teams building and operating AI agents

Register, govern,
and iterate on your
AI agents.

Obiguard gives AI product and platform teams the registry, policy engine, and review workflow to govern agents confidently — without slowing down the iteration cycle.

01 / What changes for AI teams

The policy layer travels with your agents. You don't.

The registry, policy engine, and review queue are the mechanics. What changes for a team shipping agents is that none of it sits on your critical path.
01 — NO SIGN-OFF QUEUE

New agent behaviour ships without waiting on a review meeting

Every registered agent already has a Policy Set attached, so a new tool-call or prompt change is inspected the moment it ships — not reviewed after the fact in a meeting your team has to schedule.

Mechanics in Agent Governance
02 — ONE INVENTORY, NOT A SPREADSHEET

"What agents do we even have" has an answer

Every agent and tool-call 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.

Backed by the agent registry
03 — CHANGE POLICY, NOT CODE

Tightening a rule doesn’t mean a redeploy

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.

Policy Sets · live updates
04 — ONE VIEW, EVERY STAKEHOLDER

Security and leadership pull from what you already have

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.

Also what Risk & Compliance pulls from
02 / Related

The mechanics behind the workflow.

This page is the outcome, by role. For the walkthrough of the registry, Policy Sets, and the Review Queue, see Agentic AI & Tool-Call Governance. To see how Risk & Compliance uses the same evidence, see For Risk & Compliance — all part of Governance AI.