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A Framework for Governing Generative AI Workloads in Cloud Environments

delete2026-04-01
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PRE
AI
B
Bandapati, Goutham *
A
Atta, Srinivasa R.
C
Chowdhury, Ananya Ghosh
DOI：10.1109/MC.2025.3615616delete
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Abstract

Abstract

En 中文
This article presents a platform-agnostic governance framework with a structured approach to handle the complete lifecycle of generative artificial intelligence workloads on cloud platforms, presenting the framework across five pillars: cost optimization, security, resilience, operational efficiency, and model governance.
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