Privacy-Aware Infrastructure in the AI-Native Era: An Asset Classification Case Study
Meta uses a hybrid LLM-plus-deterministic-rules pattern to classify data assets for privacy enforcement at scale.
“The end goal is not “LLMs everywhere.””
Meta Engineering details its privacy-aware infrastructure approach, using LLMs narrowly to interpret novel or ambiguous data assets while distilling stable behavior into versioned, human-reviewed deterministic rules that drive production enforcement. It matters because it offers a concrete, auditable pattern for governing data in AI-native products where modalities, derived features, and policies change faster than manual review can handle.