In multi-agent systems, agent boundaries define the permissions, data access, and action limits for each AI agent. They function as a security and governance layer, preventing unintended behavior and ensuring agents operate within their designated scope. Developers, data privacy officers, and enterprise architects benefit most, as boundaries enable scalable, safe AI deployments while maintaining compliance and operational integrity.
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