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

This technical guide outlines the expanding attack surface of GenAI/LLM environments and recommends lifecycle and network-embedded defenses—highlighting risks like prompt injection, data poisoning, model/IP theft, shadow AI, and runtime data leakage—while advocating Zero Trust, deep GenAI API parsing, continuous monitoring, and DLP/CASB controls; it introduces Aryaka’s Unified SASE with AI>Secure and AI>Perform for inline, policy-driven visibility and protection of prompts, responses, tool calls, and APIs across distributed enterprise infrastructure.