Governing AI in the Cloud: A Practical Guide for Architects

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Summary

This article outlines a practical framework for governing AI in cloud environments. It explains how to discover shadow AI through CASBs, service mesh telemetry, and API gateway logs, then classify data at creation and enforce access through IAM and network controls. It also recommends making compliance easier for developers with secure defaults, policy-as-code, and a model registry that acts as a source of truth. The article closes by showing how risk-based approvals and operational monitoring can keep AI governance aligned with delivery speed.

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