Organizations are deploying AI agents into production faster than their governance programs can adapt. These agents access sensitive data, execute workflows, delegate tasks to other agents, and take actions autonomously, all while using service accounts, API credentials, and OAuth tokens that are often themselves ungoverned.
In this webinar, we break down the governance complexity that AI agents introduce and outline what organizations need to have in place before agent adoption outpaces their ability to maintain security and compliance.
In this webinar, you will learn:
- Why AI agents and the non-human identities they rely on cannot be governed with the same models that organizations use for their workforce.
- Where most identity programs have critical blind spots, including incomplete visibility into non-human identity populations, unclear ownership, and inadequately defined lifecycle processes.
- Why the ability of AI agents to act autonomously, escalate privileges, and delegate across systems creates governance challenges that existing tools were not designed to address.
- What a structured approach to governing non-human identities and AI agents looks like, and how it builds upon principles already applied to human identities.
Join us for a practical discussion on the governance model that AI agents in production demand today.
