Sponsored Session: Confidential Computing - New Capabilities for New Workloads
summary
Hardware-based trusted execution environments run code isolated from host and other workloads and produce cryptographic measurements that an attestation service verifies, using chip keys from Intel SGX/TDX, AMD SEV SNP, ARM CCA and GPU vendors. Remote attestation returns a signed hash of TE memory so callers get provenance and unique identities; examples include GenAI training/inference with verifiable data lineage, multi-bank reconciliation and pharma analytics. Measured overhead is near native typically 2–5% performance hit (pathological cases up to ~25%). Open source projects and the Confidential Computing Consortium provide tooling.
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chapters (18)
- 0:00Confidential Computing intro
- 1:05Privacy tech family
- 2:09Definition and components
- 4:14Limitations of virtualization
- 5:41Trusted execution environments
- 7:10Trusting cloud providers
- 8:13Remote attestation
- 13:22Cloud availability
- 14:46Primitives for new use cases
- 19:43Security assurances
- 21:27Industry use cases
- 22:34Generative AI and CC
- 26:07Interbank reconciliation
- 28:16Pharma research privacy
- 29:22UN policy collaboration
- 30:26Web 3 and decentralized
- 31:55Future trends
- 34:01Q&A performance
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