AWS has described a way to author Dogwood policies for Amazon Bedrock AgentCore from natural-language policy documents. The feature is meant to help teams enforce controls over AI agents, including time-based constraints.
Agent policies matter because autonomous systems can take actions that conflict with company rules even when the underlying model appears capable. Translating policy text into enforceable controls can reduce the gap between governance documents and runtime behavior.
The update is aimed at developers building agents on AWS rather than casual users. Teams still need to verify that generated policies match their intent, but the workflow could make agent governance less dependent on hand-coding every rule.