Data Poisoning

An attack that corrupts the training or indexing data of an AI model to alter its behavior. Data poisoning can bias LLM responses, bypass guardrails, or introduce backdoors. This threat is particularly relevant for RAG systems and models fine-tuned on enterprise data.