Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore
AI agents can take actions that do not match your organization's policies. Policy in Amazon Bedrock AgentCore lets teams enforce controls across agents, now including time-based constraints. This post shows how Policy Authoring turns natural-language policy documents into correct Dogwood policies, with worked examples and best practices.
Amazon Bedrock AgentCore now allows organizations to implement controls for AI agents, ensuring they follow company policies and regulatory restrictions. The new feature, Policy in Amazon Bedrock AgentCore, enables teams to create policies that agents must adhere to while operating. These policies are expressed in Dogwood, an open-source governance language, and enforced in real-time by the Dogwood monitor built into the AgentCore Gateway.
Additionally, Policy Authoring, an AI-driven tool, can now convert natural language policies into Dogwood specifications, supporting temporal and trajectory constraints, and integrating with Amazon Bedrock Guardrails services.
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