Data Minimization Standards

Data minimization standards are guidelines that dictate that only the minimum amount of personal information necessary for a specific task should be collected and processed. In decentralized finance, this means that protocols should strive to verify compliance or eligibility without collecting unnecessary user data.

By adhering to these standards, protocols reduce their liability and protect user privacy. This is achieved through the use of zero-knowledge proofs and selective disclosure technologies.

It represents a shift towards a more ethical and privacy-conscious design in financial technology. These standards are critical for building long-term trust in decentralized systems.