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AWS introduces Dogwood for policies at AI-agent tool boundaries

aws.amazon.com 16 min read Editor score 7/10

Dogwood is an open-source governance language for specifying and enforcing rules on agent tool calls, with policies checked at the tool boundary. It offers engineers a way to make agent actions more precisely controllable.

What: Dogwood is an open source governance language for policies governing AI agents and their tools.
How: It adds temporal conditions over prior events, enabling rules for action order, prerequisites, and tool-use frequency.
Why it matters: Engineers can govern multi-step agent workflows that point-in-time authorization policies cannot express.

Agent tool calls pass through AgentCore Policy before reaching tools. Sketched from the article's own text.

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