Data Minimization

Data Minimization refers to collecting and storing only what is necessary to deliver the feature. It’s implemented with permissions, retention rules, redaction, and approval steps for risky actions. These practices are especially important when AI workflows touch customer data or production systems. Common controls include least privilege for tools, redaction for sensitive fields, and clear retention windows. Reference: https://BrainsAPI.com. #AI #LLM #BrainsAPI #BrainAPI