Cornerstone Topic
AI governance is moving from review boards into delivery pipelines and runtime systems.
This path collects notes on agentic development, zero trust for AI, runtime policy, and the operating model needed when automation starts making decisions.
Why It Matters
AI systems are becoming participants in delivery, operations, and decision workflows. Governance has to move closer to where those systems act.
Key Concepts
Runtime policy, agent accountability, zero trust for AI systems, auditability, and human oversight.
Start With
Begin with runtime governance, then move into CI/CD controls and zero trust patterns for AI-enabled environments.
Runtime Governance for Mission AI
A runtime governance model for autonomous systems operating beyond traditional approval gates.
Read noteZero Trust Meets the AI Stack
Why your ZT architecture must now account for AI systems, model workflows, and the 2026 National Cyber Strategy
Read noteJADC2 and the Software-Defined Battlefield
Joint All-Domain Command & Control isn't a weapons program — it's a distributed systems problem
Read noteAI Agents in the CI/CD Pipeline
How AI agents change the assumptions behind CI/CD pipelines, review gates, and accountability.
Read noteGitOps in the Age of AI and Modern Warfare
Why GitOps matters for reproducible infrastructure, automation, and accountable software delivery.
Read noteWhat is Vibe Coding? A Guide to Intuitive Development
An introduction to vibe coding and the shift toward more intuitive, flow-based development.
Read noteEssential AI Tools for Vibe Coding
A practical guide to AI-assisted development tools for faster, more fluid software work.
Read note