What is confidential computing (secure enclaves / TEEs), and when is it used for AI?
Encryption protects data at rest and in transit, but the instant you compute on it the data sits as cleartext in memory. Confidential computing closes that gap. The signal is the TEE concept, attestation, and the AI workloads that genuinely need it.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Encryption protects data at rest and in transit, but the instant you compute on it the data sits as cleartext in memory. Confidential computing closes that gap. The signal is the TEE concept, attestation, and the AI workloads that genuinely need it.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
