This paper explains how strong IAM controls protect AWS AI services such as Amazon Bedrock, Amazon Q, Rekognition, and SageMaker. Built-in AI guardrails still depend on permissions, so excessive access can allow users to alter workflows, expose prompts, modify logging, redirect model interactions, misuse execution roles, access sensitive datasets, or deploy services in unauthorized regions. Sonrai’s Cloud Permissions Firewall continuously analyzes access, enforces least privilege, and provides scoped, time-limited permissions on demand. It restricts model and workflow changes, prevents confused-deputy abuse, limits third-party access, controls regional deployments, and requires approval for governance changes. These controls help preserve AI integrity, confidentiality, compliance, and oper

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