5 Critical LLM Privacy Risks Every Organization Should Know
Large language models take in unstructured data. They transform it into context, embeddings, and answers. That journey touches raw files, vector stores, model logs, and third-party services. Traditional privacy programs focus on databases and forms. LLMs push risk to the edges. The riskiest moments are when you ingest messy content, when your system retrieves chunks to support an answer, and when an agent with tool access is tricked into over-sharing.
