The Agent Governance Stack: From Containment to Autonomy

Technical deep-dive into building governance infrastructure for autonomous AI agent systems, from sandbox containment through graduated autonomy to fleet-scale operations.

This book presents a detailed examination of the challenges and solutions addressed by Agent Governance Stack, providing actionable frameworks for organizations navigating the intersection of AI adoption and regulatory compliance.

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• Establishes a structured approach to agent governance that aligns technical implementation with federal compliance requirements.
• Demonstrates how Agent Governance Stack concepts translate directly into measurable engineering controls and audit artifacts.
• Provides implementation patterns validated against real-world deployment constraints in regulated environments.
• Identifies critical gaps in current approaches and proposes concrete architectural solutions backed by operational evidence.