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Stop scattering privacy logic; enforce it at the data access boundary
◆ 75RelevanceOn a story from Meta Engineering4h ago
AI products often suffer from fragmented privacy logic across various retrievers and agents. Moving these controls to the data access boundary ensures consistent compliance and reduces the risk of leaks during RAG or model training.
Takeaways
- Standardize privacy logic at the data access point to simplify multi-tenant architecture.
- Boundary-level controls prevent data leaks before they reach your AI models.
Read the original at engineering.fb.com
PrivacyLib: Privacy Controls at the Data Access Boundary
fmode.me/n/privacylib-privacy-controls-at-the-data-access-boundary
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to Meta Engineering.
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