As organizations race to adopt agentic AI, many assume these systems are fail-proof ready to reason, act, and interact on their behalf. But what really happens when AI agents engage with users, access sensitive data, or communicate with other agents inside complex SaaS platforms?
In this webinar, we unpack the momentum behind agentic AI, and the balance between power and controlling it. We’ll explore the security risks that arise when AI systems interface directly with users, including prompt injection, insider-threat amplification, and unintended data exposure. Participants will gain a clear understanding of how user interactions flow into the data and decision pathways an AI system relies on, and why this introduces new categories of enterprise risk.
We’ll also examine a real-world case study from AppOmni Labs that reveals how agent-to-agent interactions can be exploited in ways most organizations have not yet anticipated. Our speakers will discuss what this research shows about the challenges of granting AI agents greater autonomy, and how companies should rethink trust, oversight, and guardrails as AI begins to take action rather than simply provide answers.
Attendees will leave with guidance on what teams can do today to prepare for agentic AI, and steps to take to strengthen their security posture in this evolving landscape.