AI can help write code, draft content, summarize docs, and automate repeated work. But the real infrastructure question is not just what the tool can do. It is what the tool can access.
IAM is the boundary layer
IAM means identity and access management. In AWS, it includes users, roles, policies, and permissions. In plain English, IAM answers: who can do what, to which resource, under what conditions?
Why this matters for AI-assisted work
- An agent that can read files should not automatically delete files.
- A tool that can draft an email should not send it without approval.
- A build script should not expose secrets just because it can read them.
- A site launch should not activate DNS or lead capture before QA.
Study prompt
Before using any automation, write three lists: what it may read, what it may write, and what requires human approval. That is IAM thinking, even outside AWS.