As the digital age continues to generate unprecedented amounts of data, the balance between innovation and privacy has become a defining challenge. Privacy Enhancing Technologies PETs are emerging as a critical solution, enabling organizations to harness the power of data without compromising security or individual rights. From healthcare to artificial intelligence AI, PETs are poised to transform industries by fostering trust, improving data governance, and enabling the responsible use of sensitive information.
This briefing, part of the World Economic Forum's Top 10 Emerging Technologies Report for 2024 , provides a comprehensive look at how PETs are shaping the future of privacy and security in a world driven by data.
What Are Privacy Enhancing Technologies PETs?PETs are tools and frameworks designed to enable secure data processing and sharing while preserving privacy. By embedding privacy safeguards into the architecture of data systems, PETs allow institutions to collaborate and share information without exposing sensitive data. Their potential applications span industries, offering new opportunities to address global challenges such as personalized healthcare, energy optimization, and mobility innovation.
Key Issues Shaping Privacy Enhancing Technologies 1. Secure Multiparty Computation for HealthPETs are revolutionizing healthcare by enabling secure multiparty computation. This approach allows institutions to analyze sensitive medical data collaboratively without exposing personal information. For example, securely segmented computing enables data sharing across healthcare providers while preserving privacy. It paves the way for advancements in personalized medicine, where treatment plans can be tailored to individual patients based on diverse datasets, including genomic, clinical, and lifestyle information.
2. Clean, Quality DataEffective PET implementation depends on the quality of the data entering a system. Poor-quality data-often referred to as garbage in, garbage out-can undermine both privacy and utility. PETs rely on stringent data cleaning processes and harmonization frameworks to ensure that information is accurate, reliable, and aligned with privacy standards. Particularly in sensitive industries like healthcare, ensuring data quality is a crucial step in leveraging PETs for impactful insights.
