Learn how to apply Zero Trust security principles to protect enterprise information and data within Large Language Model (LLM) environments, covering both self-hosted and Software-as-a-Service implementations. Explore comprehensive strategies for securing LLM models and organizational data when consuming Generative AI products and services. Discover frameworks designed to defend against specific LLM threat vectors while maintaining the functionality of AI-powered applications. Examine practical approaches to implementing Zero Trust architecture that safeguards sensitive enterprise information without compromising the benefits of GenAI integration. Gain insights into protecting data flows, access controls, and security boundaries in modern AI-driven business environments.