AI agents and assistants are showing up everywhere, built by IT, business teams, and outside vendors. Whether they’re built in Celigo or elsewhere, they need to reach your systems, and that access is where governance either holds or breaks down. The question for IT leaders is who decides what AI can touch, and how you stay in control as adoption spreads.

We’ll start with the fundamentals of AI governance, including least privilege, least agency, guardrails, and visibility. Then we’ll show how they work in practice with Celigo’s MCP Management, including the new MCP Registry.

In a live walkthrough of an agent built outside Celigo, you’ll connect an MCP server, proxy it through the MCP Gateway, adjust tools, set permissions and guardrails per user, and watch it appear in the Registry, ready for the right people to discover and request. You’ll also see how IT gets full visibility into how agents and assistants use their tools.

We’ll close with real examples of Celigo customers building purpose-built, least-agency agents.

Join us to learn

• Core AI governance principles: least privilege, least agency, guardrails, and visibility
• How to give teams the access they need while keeping control centralized
• How to use MCP Management and the new MCP Registry to discover and govern every MCP server in one place
• How customers are building purpose-built agents with only the access they need