Cato Networks Philip Kim Sales Engineer

"The rapid adoption of Generative AI and AI agents is accelerating business innovation, but it is also introducing new security challenges, including Shadow AI, data leakage, prompt injection, and AI-powered attacks. Traditional security environments built around standalone solutions such as VPNs, firewalls, CASB, and DLP struggle to provide unified visibility and control across users, data, applications, and AI services.

In this session, we will explore how the security paradigm must evolve for the AI era and why a platform-based approach is becoming essential. We will examine how a SASE architecture that converges networking, security, Zero Trust, and AI governance into a single platform delivers the Visibility, Context, and Control needed to secure AI-driven enterprises while enabling innovation at scale."