AWS introduces Trust in Depth framework to grant AI agents greater autonomy within verifiable limits

AWS proposes the Trust in Depth framework to allow AI agents more autonomy without sacrificing control, addressing the challenge that agent creativity makes them hard to trust. This framework establishes trust by answering questions across the agent's lifecycle: Scope (before running), Know (at deployment), Bound (while running), and Observe (after each run). This approach combines precise rules with automated reasoning to ensure actions stay within set limits, reserving human judgment for complex contextual decisions.