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paper reviewed open access llmsec-2025-00031
Confidential Computing for AI Workloads: Survey and Best Practices
Microsoft Azure Confidential Computing Team
2024 — Microsoft Research
Abstract
Surveys confidential computing technologies (SGX, SEV, TDX) applied to AI workloads covering secure training, inference, and multi-party computation.
Framework Mappings
NIST AI RMF: MANAGE
Cite This Resource
@article{llmsec202500031,
title = {Confidential Computing for AI Workloads: Survey and Best Practices},
author = {Microsoft Azure Confidential Computing Team},
year = {2024},
journal = {Microsoft Research},
url = {https://www.microsoft.com/en-us/research/publication/confidential-computing-for-ai/},
} Metadata
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