Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
PySyft is open‑source technology that enables data scientists to analyze sensitive data without exposing raw data, by applying the principles of Remote Data Science to keep data confidential. It supports collaborative workflows via datasites where researchers submit proposals and data owners review and approve, or researchers can launch secure datasites to run compliant analyses and receive only the results, leveraging privacy‑enhancing technologies such as access control, federated learning, differential privacy, and zero‑knowledge proofs. It emphasizes strong security—often air‑gapped or VPN‑gapped—secure data serialization and manual or automated reviews, with deployments across partners like Microsoft, Dailymotion, the US Census Bureau, Istat, StatCan, and UNSD to enable research on protected data.
Sources
cloud.google.com shapes more of what AI says about PySyft than any other source, at 100% of its citations.
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