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.

ai

ATO for AI Systems

How AI models actually get authorized in the DoD — the Assess Only construct, the coming NIST 800-53 AI overlays, and the re-authorization trigger problem nobody has solved.

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architecture

CDAO, Swarms, and the Kill Chain as Microservices

Why the kill chain is decomposing into services on a data fabric — what Replicator's dissolution into DAWG reveals, how Open DAGIR works as an API contract, and where the microservices metaphor breaks.

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ai

Runtime Governance for Mission AI

A runtime governance model for autonomous systems operating beyond traditional approval gates.

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cybersecurity

Zero Trust Meets the AI Stack

Why your ZT architecture must now account for AI systems, model workflows, and the 2026 National Cyber Strategy

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architecture

JADC2 and the Software-Defined Battlefield

Joint All-Domain Command & Control isn't a weapons program — it's a distributed systems problem

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ai

AI Agents in the CI/CD Pipeline

How AI agents change the assumptions behind CI/CD pipelines, review gates, and accountability.

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gitops

GitOps in the Age of AI and Modern Warfare

Why GitOps matters for reproducible infrastructure, automation, and accountable software delivery.

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development

What is Vibe Coding? A Guide to Intuitive Development

An introduction to vibe coding and the shift toward flow-based development.

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ai

Essential AI Tools for Vibe Coding

A practical guide to AI-assisted development tools for faster, more fluid software work.

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