RAG's Trust Paradox: Why Knowledge Bases Are Now the Prime Attack Target

RAG promises to make LLMs more powerful by connecting them to live data, but this same capability introduces exponential security risks that traditional LLM defenses cannot prevent. Research demonstrates that just five poisoned documents can achieve 90% attack success, and embedding inversion can recover 50-70% of sensitive text—requiring enterprises to adopt defense-in-depth strategies across every stage of the RAG pipeline, not just the LLM itself.