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Learn from Meta's real-world experience implementing purpose limitation at scale through a retrospective analysis of Policy Zones, a technical solution designed to enforce data privacy principles. Examine three common purpose limitation paradigms that initially seemed promising but revealed significant gaps when deployed at enterprise scale: the "set it and forget it" approach of dynamically propagating policies across services, the "one size fits all" strategy of using single policies for all privacy requirements, and the "run checks everywhere" method of implementing server-side privacy checks at every data store. Discover why these approaches, while facilitating faster initial system development, ultimately required complete redesign to achieve operational maturity and scalability, gaining valuable insights into the complexities and opportunities of implementing purpose limitation in large-scale data systems.
