Securing Generative AI: A Technical Guide to Protecting Your LLM Infrastructure

This technical guide outlines the evolving attack surface of Generative AI/LLM environments—highlighting prompt injection, data poisoning, model theft, Shadow AI, and runtime data leakage—and advocates a multilayered defense including a Secure AI Development Lifecycle, least-privilege access, continuous monitoring, and network-native enforcement via a unified SASE platform. It promotes Aryaka’s AI>Secure and AI>Perform for inline, protocol-aware inspection of GenAI traffic, data protection (DLP/CASB), deep parsing of GenAI APIs, and consistent policy controls to mitigate enterprise runtime risks without degrading performance.