A compact framework for making AI systems auditable, governable, and provable.
Everything you need to understand and implement the control plane. Includes the architecture map, DiFilippo's Law, reference requirements, a governance checklist, and three metrics that prove maturity.
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The Problem
Why current identity infrastructure doesn't work for AI agents, and what breaks when you try to use it anyway.
The Architecture
The three-layer model: execution, identity control plane, and provenance. How they connect and why each layer matters.
The Implementation
Concrete requirements for identity binding, token governance, policy enforcement, audit events, and provenance stamps.
Step 1: Download the Field Guide and read DiFilippo's Law.
Step 2: Review the control plane map against your current architecture.
Step 3: Run the agent receipt demo to see the concepts in action.
Step 4: Use the governance checklist to identify gaps.