Autonomous software agents present governance challenges when their behavior deviates from operational guidelines. AWS notes that "AI agents can take actions that do not match your organization's policies." To address this issue, Policy in Amazon Bedrock AgentCore allows technical teams to implement and enforce behavioral boundaries across active agents. The control mechanism has recently expanded its scope, "now including time-based constraints."
The system uses dedicated functionality called Policy Authoring to streamline the creation of these rules. According to AWS, this tool "turns natural-language policy documents into correct Dogwood policies" to simplify system configuration. The process is outlined alongside worked examples and recommended best practices to assist teams in standardizing controls across their agent deployments.

