Data minimization

The GDPR principle (Article 5(1)(c)) and general good-practice standard requiring that only the personal data necessary for a stated purpose be collected and retained. Applied to vector stores, this means storing a non-identifying reference rather than raw personal data in the payload field wherever the application's functionality does not strictly require the raw data to be present in that specific system.

The discipline of recording only the data needed for the trail's purpose and no more, keeping secrets and raw sensitive content out of the log entirely, so that the record stays useful for accountability without becoming a store of liabilities.

The privacy-by-design principle of capturing only the sensor data actually required for a robot's stated task, reducing exposure at the earliest and cheapest point in the lifecycle, before any data has been collected.

The practice of collecting and connecting only the data fields you actually need; both a privacy principle and a maintenance benefit, since fewer fields mean less to keep clean and less exposure if data is lost.

The privacy principle of collecting, sharing, and storing only the minimum amount of personal data necessary for a specific purpose. Reduces risk by limiting what can be exposed in a breach.