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Secure AI agents the right way: from inventory to runtime

Every week, teams spin up new AI agents in Salesforce, Microsoft Copilot, Google Vertex, Claude, and dozens of others. Some are sanctioned. Many aren’t. Almost none are governed.

Closing the AI Agent Governance Gap: From Inventory to Runtime is a two-part video series on what AI agent security looks like when it is done the right way.

In Part 1, three CISOs explain why AI agents create a structural governance gap and what security leaders need to understand about inherited access, visibility, and accountability.

In Part 2, we show how to take control in practice: from discovering agents and understanding access to monitoring risk and enforcing runtime guardrails.

Attend these sessions to see how to move from snapshot visibility to continuous governance.

AI agents are creating a new governance challenge for security leaders.

AI agents are already active in our environments, operating with inherited access and outside the controls designed for human identities.

In this series, we examine how organizations can close the AI agent governance gap by moving from basic inventory to continuous oversight and runtime enforcement. The result is a more complete model for securing AI agents the right way: built on finding, understanding, monitoring, and enforcing.

Events in this Series

Building a Security Blueprint for the Ungoverned Agent Problem

Building a Security Blueprint for the Ungoverned Agent Problem

April 29, 2026 at 11:00 AM PDT

CISOs from T-Mobile, Cisco, and the former CISO of Walt Disney discuss how to govern AI agents that are already running in enterprise environments.

Secure AI agents from discovery to runtime with Obsidian Security

Secure AI agents from discovery to runtime with Obsidian Security

May 6, 2026 at 11:00 AM PDT

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.

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