AWS Trust in Depth: Giving AI Agents More Autonomy Without Losing Control

AWS wants enterprises to let agents act alone — and its new Trust in Depth framework is, at its core, an admission that nobody trusts them enough yet. The pitch is autonomy with guardrails; the honest part is that the guardrails, not the agent, are the product.

The problem AWS names is real. A human approving every agent action works until it doesn't: approvals pile up, review fatigue sets in, and people stop catching the things that matter. Capable agents then sit idle while valuable work waits. The fix AWS proposes is not "trust the model more" — it's to let the agent act alone only where its actions can be verified, and reserve human judgment for decisions that actually need it.

Scope first, because it's cheapest there. Trust begins before an agent runs. Decide what work it owns, which tools and data it may touch, and when it must stop and ask.…