RAG Systems Face Critical Vulnerability as Researchers Expose Poisoning Attacks, Embedding Inversion Risks
RAG systems face serious security threats as researchers reveal that just five crafted documents can corrupt AI responses with over 90% success, while embedding vectors previously considered opaque can now be used to reconstruct source text, forcing organizations to reclassify vector store breaches as significant data leaks.