Scaling Privacy Infrastructure for GenAI Product Innovation

What this post added

This post details the scaling of Meta's Privacy Aware Infrastructure (PAI) to address the unique challenges of GenAI, specifically focusing on data lineage and privacy controls for AI glasses. It introduces cross-stack lineage collection (web, logger, warehouse, inference, training) and the use of a common privacy library (PrivacyLib) to capture read/write operations. The post explains how this lineage data is transformed into actionable proofs for privacy protection by guiding the placement of Policy Zones and verifying data processing jobs.