Data Minimization

Data minimization is the practice of collecting and sending only the data a task actually requires. For LLM systems it means stripping or redacting personal fields before they enter a prompt, avoiding logging of raw user content, and keeping retrieved context tightly scoped. Minimizing what flows through the model reduces both privacy exposure and the blast radius if a log or trace leaks.