The exploitation of LiteLLM proxies highlights a critical vulnerability in the 'AI Middleware' layer. As enterprises rush to integrate multiple LLMs, they are creating a new, unmonitored attack surface. The ability for attackers to modify proxy databases means they can redirect AI queries, inject malicious prompts, or exfiltrate the proprietary data used for 'Retrieval-Augmented Generation' (RAG).