Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore | Amazon Web Services
AI agents can automate complex workflows but might take actions that don’t align with your organization’s policies or regulatory constraints if used without proper controls. To address this, we built Policy in Amazon Bedrock AgentCore so teams can implement controls that are applied across agents running in Amazon Bedrock AgentCore. This was recently expanded with new capabilities for enforcing restrictions that constrain agent actions across time, which support policies such as rate limiting, prerequisites and sequential ordering of tool calls, and cumulative effects. These policies are expressed in Dogwood, an open source governance language, and applied to agent actions in real time by the Dogwood monitor built into the AgentCore Gateway, a capability of Amazon Bedrock AgentCore.
As part of this new launch, we expand the capabilities of Policy Authoring, an AI-driven tool to convert natural language policy specification documents into syntactically and semantically correct...
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