Browse past weeks of engineering reads.
Meta needed to reliably classify and understand diverse data assets across their infrastructure to enable privacy controls that enforce retention, access, purpose, sharing, and anonymization policies in an AI-native environment.
Ensuring end-to-end encrypted messages and conversation history survive device loss, device switches, and extended offline periods without compromising encryption guarantees.
How to enable end-to-end encrypted backups for messaging applications while ensuring recovery codes remain inaccessible to Meta, cloud providers, and other third parties.
Meta needed to migrate its infrastructure and systems to post-quantum cryptography standards before quantum computers could break existing encryption schemes.
Messenger needed to protect user privacy when clicking links in chats while still detecting and warning users about malicious URLs, creating a tension between link safety scanning and end-to-end privacy.
Updating security-related APIs across millions of lines of code and thousands of engineers is extremely difficult at scale, especially when a single class of mobile vulnerability can be replicated across hundreds of locations in an Android codebase.