Duality
Guidance on Privacy-Enhancing Technologies for Data Protection
Pages
66
Time to read
89 mins
Publication
Language
English
Pages
66
Time to read
89 mins
Publication
Language
English
This guide provides comprehensive information about privacy-enhancing technologies (PETs) and their role in data protection compliance. It is aimed at data protection officers and individuals responsible for handling large personal data sets across various sectors, including finance, healthcare, and government. The document outlines how PETs can assist in adhering to data protection laws by minimizing personal information use, maximizing information security, and empowering individuals. It details eight types of PETs, including differential privacy, synthetic data, and homomorphic encryption, explaining their respective risks and benefits. The guide emphasizes the importance of assessing the maturity and appropriateness of PETs for specific use cases, and it discusses the potential risks associated with their implementation, such as lack of expertise and mistakes in configuration. Additionally, it highlights the necessity of lawful, fair, and transparent processing of personal data, ensuring that PETs are not viewed as a one-size-fits-all solution for data protection.