AI agents are no longer hypothetical—they’re here, autonomous, and actively making decisions across your enterprise.
While IT focuses on traditional access management, business units are deploying agents on their own, often without oversight. The result is a growing population of shadow agents: ungoverned, invisible identities with system-level permissions. Attackers have taken notice. These agents are being exploited to move laterally, access sensitive data, and escalate privileges.
Securing these agents isn’t just an emerging priority—it’s essential.
AI agents are not passive tools; they are active participants capable of initiating transactions, modifying data, and triggering workflows at scale. When left unsecured, they introduce significant operational, compliance, and security risks. Misuse—whether malicious or accidental—can lead to serious consequences.
The challenge is visibility and control.
Many agents are launched without formal identity, clear ownership, or audit logging. Without proper governance, it becomes nearly impossible to monitor what agents are doing, who’s responsible for them, or what systems they touch. And unlike humans, they don’t pause to question a flawed instruction—they just execute.
As adoption accelerates, enterprises face the rapid expansion of AI-powered activity operating outside traditional identity controls. Securing these agents means giving them identities, assigning owners, enforcing appropriate access, and implementing lifecycle management. Otherwise, organizations risk scaling vulnerability alongside innovation.
This session explores how shadow agents emerge, the real-world attack vectors already in play, and the concrete steps security leaders can take to bring these powerful new identities under control—before they become the weakest link in your security posture.
