The series argues one thing across every volume: AI does not become governable by accident. Every working system in this series sits inside a harness, and every harness is the same five components rearranged for a different domain. Federal security, commercial compliance, academic governance, DevSecOps transformation—one framework, many applications.

Trust Convergence on the Edge of Artificial Intelligence

Diagnosing the Trust Problem

Architecture and Verification

Hands-On Implementation Guide with 45 Worksheets

Finding Stable Governance Orbits Between Competing Forces

Operational Security and Resilience for Long-Running Systems

Command, Containment, and Control for Autonomous Agent Fleets

Governing Open Agent Platforms Without Killing What Makes Them Useful

Execution, Knowledge, and Comprehension in AI Agent Teams

Governing AI in Institutions Built for Departure

DevSecOps and Its Future with AI

Achieving Continuous Authority to Operate with AI-Assisted DevSecOps

Governing AI Augmentation in Scaled Agile