Confidential computing protects data while it is being processed. The interesting question is not whether a workload runs inside a trusted execution environment, but whether the complete path from measurement to attestation to secret release deserves trust.

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  1. WhatsApp’s Private Processing introduces confidential computing through a system operating at internet scale.
  2. What WhatsApp’s Trail of Bits Audit Teaches Us shows how real implementations can break the intended trust model.
  3. From “Trust Us” to “Verify Us” explores confidential AI inference and the next identity problem.
  4. TEEs in Crypto looks at hardware isolation as a pragmatic coordination layer.
  5. Follow the Data offers the broader architecture method behind the technology.

These pieces move from the basic promise—protecting data in use—to the harder work of proving what is actually inside the trusted boundary.