AWS 提出 Trust in Depth：让智能体更自主又不失控
原标题：Trust in Depth: Giving agents more autonomy without losing control
AI 摘要
AWS 在博客中提出「Trust in Depth」框架，主张在可验证的前提下给予 AI 智能体更多自主权，而非依赖人工逐项审批。该框架围绕 Scope、Know、Bound、Observe 四个生命周期阶段构建多层信任，并借助 AWS 已运行十余年的自动推理技术（如 IAM、Nitro Hypervisor、S3 Block Public Access）来验证智能体规则。AWS 同时提到 Kiro、Strands 和 Amazon Bedrock AgentCore 等工具用于定义智能体边界与治理。
正文节选
Trust in Depth: Giving agents more autonomy without losing control In every conversation I have with enterprise leaders, they say the same thing. They want agents to do more, but they don’t trust them to do it right all the time. That’s fair. The same creativity and autonomy that makes agents useful makes them hard to trust. Give an agent a task and it finds its own path to finish it, picking tools and sequencing steps no developer scripted. Run the same task twice and it might take a different