Privacy-Enhancing Tech Gains Traction, Safeguarding Data Confidentiality
Privacy-enhancing technologies are gaining traction, allowing data collection and analysis while safeguarding confidentiality. These tools address data protection concerns, as recognised by regulatory frameworks worldwide.
Privacy-enhancing technologies enable data collection, processing, analysis, and sharing without compromising data confidentiality. They include federated and distributed analytics, which permit executing analytical tasks on data not visible to processors, reducing the need for sensitive data to leave devices. Additionally, encrypted data processing tools allow computations over encrypted data, addressing traditional vulnerabilities when data require decryption for processing.
Data accountability tools provide controls over data gathering and usage, managing data use, tracking compliance, and establishing rules for data access. However, technical limitations present significant challenges, such as higher computation costs for encrypted data processing and data cleaning challenges with encrypted processing tools. The Organisation for Economic Co-operation and Development (OECD) identifies four categories of these technologies: data obfuscation tools, encrypted data processing tools, federated and distributed analytics, and data accountability tools.
Implementation approaches vary between countries, with some relying on best practices and guidance rather than mandatory requirements. Regulatory frameworks increasingly recognise and mandate the use of privacy-enhancing technologies, such as data protection by design. Despite persistent information leakage risks, these technologies offer promising solutions for protecting data privacy in the digital age.
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