Building Governed Agents: A Framework for Cost, Control, and Compliance
The article emphasizes that governance of AI agents is critical to ensure control, compliance, and cost management, particularly as they integrate into production systems. It outlines the role of a LLM gateway as a runtime control plane, enabling policy enforcement, authentication, and failure management while retaining decision evidence. Governance must extend beyond content filtering to include action controls, such as tool usage and human approval, and requires defining governance principles, secure environments, and integration with tracing and monitoring systems. The gateway must also manage provider secrets, data separation, and data residency to meet compliance requirements, with a focus on cost control, model routing, and context efficiency.
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