TEE

In January, I wrote about WhatsApp’s Private Processing as a milestone for confidential computing: the first time TEEs were deployed at truly global scale to protect AI inference for billions of users. That post was about the architecture. This one is about what happened when someone tried to break it. Trail of Bits just published its pre-launch security audit of WhatsApp’s Private Processing system. They found 28 issues, including 8 high-severity findings. Meta fixed the critical issues before launch. ...

MCP servers aggregate high-value credentials behind a weak trust boundary. TEEs can close the host-level gap by combining memory isolation with attestation and measured identity.

There’s a pattern showing up across crypto infrastructure right now for anyone building wallets, MEV (maximal extractable value) pipelines, or agent payment systems: Vitalik frames TEEs as a pragmatic near-term privacy layer (especially around RPC / read-path privacy), Coinbase uses enclave-backed architecture for programmable wallets, policy-controlled signing, and agent-ready payment workflows, Flashbots uses SGX for confidential block building in the MEV pipeline. Different use cases, same design instinct: use hardware-backed isolation to reduce trust now, while more advanced cryptographic systems mature in the background. ...