“You can run an application inside a secure enclave - nobody sees what it does - and you also create a zero-knowledge proof that the application was run correctly.” - @rolfversluis, Co-founder of @ZKVProtocol In House of ZK Radio #82, zkVerify Co-founder Rolf Versluis explains how trusted execution environments give confidentiality (inputs/weights/keys stay inside), but you still need an external guarantee that the computation actually followed the intended program and produced a valid output. This is where Zero-knowledge proofs come in. The enclave emits a minimal trace or commitment; a prover constructs a ZK proof that (1) the trace is consistent with the specified program and (2) the enclave’s attestation is valid. Verifiers don’t see private inputs or model weights, yet they can check correctness. This TEE→ZK pattern removes single-vendor trust and mitigates rollback or output-tampering risks: even if you can’t inspect the enclave, the ZK proof binds the result to the approved code path and inputs. zkVerify is the verification layer for this workflow. It verifies modern proof systems natively (not just Groth16), returns fast, low-cost receipts on its L1, and can post receipts to EVM chains for on-chain logic. In practice: run confidential compute in a TEE, generate a ZK proof of correct execution, submit to zkVerify for verification, and reference the receipt in your app or smart contract. Typical uses: • Private/regulated AI inference: keep models and prompts confidential in TEEs; prove correct inference to counterparties via ZK; settle with zkVerify receipts. • Selective-disclosure identity and compliance: verify checks inside TEEs (age, jurisdiction, sanctions) without exposing full PII; anchor proofs via zkVerify. • Fair off-chain compute for dapps and games: execute deterministically in TEEs; ZK-prove rule adherence; zkVerify attests results to on-chain contracts. Watch House of ZK Radio #82 to learn more about how TEEs provide confidentiality and hardware attestation, ZK provides correctness, and zkVerify operationalizes verification at speed and cost suitable for real applications: hozk.io/radio#82-rolf-verslu…