RAG poisoning is actually a surveillance risk that targets the honesty of artificial intelligence systems, especially in retrieval-augmented generation (RAG) models. By using outside understanding sources, aggressors can easily distort outcomes from LLMs, risking AI conversation protection. Utilizing red teaming LLM procedures may assist identify weakness and minimize the threats related to RAG poisoning, making sure more secure artificial intelligence communications in enterprises. https://splx.ai/blog/rag-poisoning-in-enterprise-knowledge-sources