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AI x Crypto

Why does attesting my LLM inference still let the operator infer what I asked?

80

Opportunity

Trusted Execution Environments can now prove a specific model ran without modification, which is real progress on integrity. But attestation proves integrity, not confidentiality. During transformer inference the memory access patterns, cache timing, and PCIe bus traffic between the CPU and GPU create a measurable side channel that leaks information about the prompt even inside an attested enclave. September 2026 research demonstrates verbatim token leakage through this channel on H100 configurations. Splitting the model across a trusted CPU and an untrusted GPU, which is required at production scale, enlarges the attack surface in ways that current enclave designs do not address.

Why it matters

Side-channel hardening is the missing half of verifiable AI compute because attestation proves integrity but leaves prompt confidentiality undefended.

How I score the opportunity

The Opportunity Score is my own read, not a measurement: how much it hurts, how often it bites, and how little exists to solve it today. Higher means I think it is more worth building.

Severity7/10

How much pain it causes when it shows up.

Frequency6/10

How often people actually run into it.

Whitespace9/10

How little good tooling exists for it today.

More problems worth solving