This playbook guides founders in governing agentic AI on AWS by setting clear boundaries, monitoring risks, incorporating human oversight, and using AWS tools like Bedrock guardrails and SageMaker Model Monitor to ensure safe, compliant, and efficient AI operations.

AI governance on AWS requires clear objectives, security (IAM, KMS), compliance tools (CloudTrail, Security Hub), data lineage, SageMaker model tracking, monitoring, and FinOps to scale AI securely and cost-effectively.

This playbook offers an AWS-aligned framework for startups to identify, prioritize, and manage agentic AI security and compliance risks, leveraging AWS tools and standards like SOC 2, ISO 27001, and GDPR.