Your RAG Pipeline is Leaking - 4 Data Leak Points Nobody Talks About published: false

Every enterprise running RAG today is doing what Samsung engineers did in 2023 — sending sensitive data to LLM providers. Except it's automated, at scale, thousands of times per day. Samsung's problem wasn't careless employees. It was architectural. And your RAG pipeline has the same architecture. The 4 Leak Points Your Documents (contracts, financials, HR, strategy) | v 1. Chunking ✅ Local, safe | v 2. Embedding API call ❌ LEAK #1: raw text to provider | v 3. Vector DB (cloud) ❌ LEAK #2: invertible embeddings | v 4. User query embedding ❌ LEAK #3: query to embedding API | v 5. Retrieved context (your most sensitive chunks) | v 6. LLM generation call ❌ LEAK #4: query + context in plaintext | v Response to user Six steps. Four leak points. Every single query. Your compliance team saw a box labeled "LLM" in the architecture diagram and assumed it was local. It isn't. "But Embeddings Are Just Numbers" That was conventional wisdom until Zero2Text (Feb 2026) — a zero-training inversion atta