AI agents are already running in your environment. Thousands of them. And most are operating with more access than they need and without any runtime guardrails to stop them from doing something you never intended.

In this product deep dive, the Obsidian Security team will walk you through exactly how to take control – from discovering every agent the moment it appears, to right-sizing its access, to enforcing guardrails that stop high-risk actions before they execute.

Join us to see firsthand how Obsidian gives security teams the visibility, governance, and runtime protection they need to manage AI agents across the business.

What you’ll learn:

• How Obsidian users can automatically find any AI agent in their environment mapped to relevant connections

• What risk factors are surfaced to spot risky agents, fix excessive access, and remediate unsafe configurations

• Best practices to enforce runtime guardrails that intercept high-risk actions before damage is done

• How to apply a phased approach to AI agent security, from inventory and access governance to runtime enforcement

Whether you’re just starting to get a handle on your AI agent inventory or looking to mature your runtime controls, this session will give you a concrete framework and a live product walkthrough you can evaluate against your own environment.