Computación Confidencial

Protección de datos en uso.

Beyond storage (at rest) and networking (in transit), Confidential Computing encrypts memory while code is running. Using secure enclaves (Intel SGX, AMD SEV), it isolates sensitive data even from the cloud provider. Remote attestation allows users to verify hardware integrity before processing. In 2026, it is the standard for Confidential AI on H100 GPUs.

        graph LR
  Center["Computación Confidencial"]:::main
  Pre_computer_architecture["computer-architecture"]:::pre --> Center
  click Pre_computer_architecture "/terms/computer-architecture"
  Pre_cryptography["cryptography"]:::pre --> Center
  click Pre_cryptography "/terms/cryptography"
  Rel_homomorphic_encryption["homomorphic-encryption"]:::related -.-> Center
  click Rel_homomorphic_encryption "/terms/homomorphic-encryption"
  Rel_secure_multi_party_computation_smpc["secure-multi-party-computation-smpc"]:::related -.-> Center
  click Rel_secure_multi_party_computation_smpc "/terms/secure-multi-party-computation-smpc"
  Rel_cybersecurity["cybersecurity"]:::related -.-> Center
  click Rel_cybersecurity "/terms/cybersecurity"
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🤓 Expert Deep Dive

Three pillars: Isolation, Encryption, and Attestation. CPU-based MEE (Memory Encryption Engines) protect against physical RAM probing. Attestation quotes verified against manufacturer roots of trust ensure logic hasn't been tampered with. The focus has moved from application enclaves (SGX) to full VM isolation (TDX/SEV-SNP).

🔗 Términos relacionados

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📚 Fuentes