Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore
Amazon adds natural-language policy authoring to AgentCore—making agent guardrails accessible to non-engineers.
Why it matters
As enterprises deploy agents at scale, policy enforcement becomes critical infrastructure. AWS's natural-language policy feature lowers the barrier for security and compliance teams to author controls without deep technical knowledge.
The key facts
9 to knowAmazon Bedrock AgentCore now supports natural-language-to-Dogwood policy compilation
New time-based constraint capabilities added to Policy layer
Feature enables non-technical teams to enforce organizational controls across agents
Addresses agent safety/guardrail pattern in production deployments
Amazon Bedrock AgentCore now supports time-based policy constraints
Policy Authoring feature converts natural-language policy documents to Dogwood policies
Addresses agent control and compliance enforcement across multi-agent systems
Worked examples and best practices included in post
Published August 2026
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: 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,…