top of page


AI governance on AWS: the minimum viable guardrails before you scale
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.
Alex Boardman
4 days ago5 min read
Â
Â
Â
Agentic AI on AWS: a practical playbook for security and compliance
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.
Alex Boardman
Mar 134 min read
Â
Â
Â


A founder’s guide to SOC 2, ISO 27001 and HIPAA for AI on AWS
This guide helps AI startups achieve SOC 2, ISO 27001, and HIPAA compliance on AWS by mapping controls to AWS tools, automating evidence, managing vendor risk, and integrating AI governance for secure, scalable innovation.
Alex Boardman
Feb 254 min read
Â
Â
Â
bottom of page