azure-confidential-computing

azure-confidential-computing is a Cloud platforms skill for AI agents, published by vinayaklatthe in the microsoft-security-skills repository on GitHub. Skillspace rates azure-confidential-computing F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.

Guidance for Azure Confidential Computing — protecting data in use through hardware-based Trusted Execution Environments (TEEs). Covers Confidential VMs (AMD SEV-SNP, Intel TDX), Confidential containers on AKS (Kata + AMD SEV-SNP), confidential GPU VMs (NVIDIA H100 with TDX), Azure Key Vault Managed HSM and Premium with secure-key-release for confidential workloads, attestation (Microsoft Azure Attestation service), confidential ledger, scenarios (multi-party data sharing, regulated workload isolation, AI training on sensitive data), key-release policies tying secrets to attested TEE state, and decision criteria vs CMK/Customer Key. WHEN: Azure Confidential Computing, AMD SEV-SNP, Intel TDX, confidential VM, confidential AKS container, confidential GPU H100, Azure Attestation, secure key release, multi-party computation, confidential AI, encrypted memory Azure, hardware enclave Azure. DO NOT USE for general data-at-rest CMK (use azure-key-vault), application encryption SDK only, or…

Grade

F

Quality

45 / 100

Safety

Risky

GitHub stars

158

Unproven: rated by static analysis only, not yet compared head-to-head.

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