Transcript
an explosion of AI agents. These agent functions like human workers in one key way, they need access to resources. So like applications, systems and sensitive data to do their job. What is the core problem enterprises face in managing AI agents today? The problem is that most AI agents today are unmanaged. They are created by humans, but then they sit there operating with access to core systems, have access to your sensitive data. Sometimes they're actually reading data, sometimes writing data and actually making stuff and often making decisions without being governed the way human identities are. So the real issue isn't AI as a concept, it's that these agents behave like identities, but enterprises aren't treating them like identities yet. That creates a major visibility, a governance gap. What is the first step in managing AI agents securely? The first step is discovery. Before you can manage AI agents and generally anything, you have to understand what exists in the enterprise. How many agents are out there? Who created them? When were they created? What access do they have and what system they can actually touch? You'd be surprised how often these things are created and then forgotten. And that's not unique to AI agents. It's true for service account bots and other non-human identities. So discovery is foundational. If you don't have visibility, you cannot put governance around it. You cannot manage what you cannot see.
