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Organizations deploying AI agents can now implement governance controls more easily, reducing the risk of agent actions violating corporate policy while accelerating compliance and control rollout across agent implementations.
Amazon Bedrock AgentCore now supports Policy Authoring, which converts natural-language policy documents into Dogwood policies to enforce organizational controls across AI agents, including time-based constraints. This feature enables teams to govern agent behavior and ensure compliance without requiring deep policy specification expertise.
Read the full article at AWS AI/ML
CoFabrix summarises and comments on this story. The original reporting belongs to AWS AI/ML.
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