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New Textbook — First Edition, 2026

Governing Intelligence

Law, Privacy, Security, and Compliance in the Age of Artificial Intelligence

By Noah M. Kenney
First Edition, 2026
20 Chapters · 460+ Pages
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20
Chapters spanning law, ethics, privacy, security, and compliance
5
Layers of the AI Governance Stack framework
40+
Jurisdictions and regulatory regimes analyzed
1st
Unified textbook mapping governance to the AI lifecycle
Topics Covered

What's inside.

The textbook covers the most critical areas of AI law, governance, and compliance across regulated and high-risk domains.

EU AI Act & Global Regulation

Risk classification, prohibited uses, and conformity assessment for high-risk AI systems

GDPR & US Privacy Law

Data subject rights, lawful bases, CCPA/CPRA obligations, and cross-border transfers

Healthcare & Financial AI

HIPAA alignment, sector-specific compliance, and deploying AI in regulated environments

Generative AI Governance

Responsible LLM deployment, model cards, data lineage, and hallucination risk

AI Governance Stack

A five-layer framework spanning data, models, systems, monitoring, and audit

Privacy Engineering

Data minimization, privacy-by-design, PIA methodology, and consent management

Cybersecurity for AI

Adversarial threats, model poisoning, zero-trust architecture, and threat modeling

Compliance & Audit

Audit trails, accountability structures, and operationalizing governance at scale

Core Framework

The AI Governance Stack.

A five-layer framework for operationalizing AI governance — from data collection through independent audit.

Layer 011

Data Layer

Governance of data collection, quality, lineage, privacy, and consent — the foundation on which all AI systems are built.

Layer 022

Model Layer

Controls for model development, training, validation, bias testing, and documentation throughout the model lifecycle.

Layer 033

System Layer

Governance of deployment environments, integration architecture, access controls, and operational safeguards.

Layer 044

Monitoring Layer

Continuous oversight of performance, drift detection, incident response, and real-time risk management.

Layer 055

Audit Layer

Independent review, compliance verification, accountability reporting, and regulatory alignment across the full stack.

The Learning Hub

A guided path through AI governance.

20 structured modules, role-based learning pathways, quizzes, progress tracking, and discussion — all built around the textbook. Completely free.

20 Modules
Structured Content

Each chapter becomes an interactive module with key concepts, section-by-section guidance, and knowledge checks.

6 Pathways
Role-Based Learning

Tailored module ordering for attorneys, technologists, executives, policymakers, students, and general learners.

Track Progress
Quizzes & Discussion

Test your understanding with module quizzes, bookmark key sections, and track your progress across the full curriculum.

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About the Author

Noah M. Kenney

Noah M. Kenney

Practitioner, Researcher, Educator

Founder & Principal Consultant, Digital 520 · President & Chief Scientist, Disruptive AI Lab · President, Ethical Tech Forum

Noah M. Kenney is the Founder and Principal Consultant of Digital 520, a global consultancy specializing in AI governance, data privacy, cybersecurity, and compliance. He has consulted on over 40 AI initiatives and speaks globally on governance, privacy, and secure systems design.

Noah co-developed the country’s first AI Privacy Engineering course at the Georgia Institute of Technology. He holds over 50 advanced industry certifications, including the CIPM from IAPP. He earned his undergraduate degree in Economics with high honors from Georgia Tech and a Master’s of Engineering from the University of Colorado Boulder.

CIPM — IAPP Georgia Tech (High Honors) M.Eng., CU Boulder 50+ Certifications 40+ AI Engagements

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