A Large Language Model (LLM) typically encounters a leakage when sensitive, confidential, or regulated information is exposed without appropriate authorization. This usually happens when an employee accidentally pastes sensitive data into prompts, when an LLM retrieves restricted information from connected systems, when sensitive data appears in outputs, or when chat logs, training data, or AI […] The post LLM Data Leakage: Definition, Risks & Best Practices To Prevent It appeared first on Securiti .