privacy-preserving data

Privacy-preserving data refers to methods that allow organizations to analyze and share information without revealing personal or sensitive details. Techniques such as data anonymization, encryption, and federated learning ensure that individual identities and private information remain protected while still enabling useful insights. This approach balances the need to utilize data for research, decision-making, or innovation with the importance of respecting individuals' privacy rights. Overall, it helps organizations extract value from data without compromising personal confidentiality.