Organizations across government, healthcare, finance, and research need to share and analyze data to solve important problems, but current methods for protecting personal privacy while sharing data are inadequate and difficult to evaluate. Researchers and practitioners struggle to determine which privacy protection methods work best for different situations, how much privacy they actually provide, and what trade-offs exist between privacy protection and data usefulness. This creates barriers to safe data sharing that could otherwise enable medical breakthroughs, improve government services, and advance scientific discovery. This project addresses this problem by building and operating a comprehensive testing facility that allows researchers and practitioners to evaluate, compare, and improve privacy protection technologies for data sharing and analysis. This work serves the national interest by strengthening data privacy protections across critical sectors, enabling secure collaboration for national security and public health initiatives, supporting American competitiveness in privacy-preserving artificial intelligence technologies, and accelerating the development of trustworthy data sharing systems that protect individual rights while advancing scientific progress. This project builds and operates the Testbed for Privacy-Preserving Technologies for Data Sharing and Analysis, a comprehensive evaluation infrastructure to support assessment, comparative analysis, vulnerabil