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The most current, most comprehensive AI compliance intelligence available — from an independent body with zero financial stake in any AI vendor or platform. Every title opens inside the secure online reader, page by page, with nothing to download. One monthly subscription unlocks them all.
The authoritative single-volume guide to AI compliance across every major global jurisdiction. Written from primary regulatory sources and updated June 2026 — including the EU AI Act Omnibus and Colorado SB 26-189.
The complete article-by-article decode of Regulation (EU) 2024/1689 — the world's first comprehensive, binding AI law. Every one of its 113 articles translated into plain language: what it says, who it applies to, what it requires, and the deadline that governs it. Written from the primary text and current to June 2026.
The complete jurisdiction-by-jurisdiction guide to AI compliance across the Asia-Pacific region — South Korea, Singapore, Japan, China, India, and Australia. Includes a 90-day multi-jurisdiction sprint plan.
The first definitive framework for governing AI that acts on its own — calling tools, executing transactions and coordinating other agents without a human approving each step. Grounded in Singapore's landmark Agentic AI Framework (January 2026), the WEF foundations, and the Agentic Operating Model.
The most comprehensive single-volume guide to healthcare AI compliance — synthesizing HIPAA, HITECH, FDA clinical-decision-support and SaMD guidance, 21 CFR Part 11, the EU AI Act, EU MDR and ISO 42001 into one usable framework. Written from primary sources and current to June 2026.
The boardroom companion to the entire series — written for the CEO, board director, General Counsel and Chief AI Officer who answer for AI when the regulator, the plaintiff or the shareholder calls. Personal accountability, the questions to ask, and a 90-day plan to get governance in place.
How embodied and industrial AI systems are regulated where software meets the physical world. As industrial robots and embodied AI systems move from controlled environments into spaces shared with human workers, compliance now spans two parallel obligations: AI-specific risk management and established physical safety standards. This volume maps the current global standards landscape for physical and embodied AI.
The full AxiLayer AI Intelligence Series — practitioner-grade references organized across eleven role-based series, written by people who spend their working days inside AI compliance engagements. Every title below is published, in final preparation, or actively in development, and built from primary regulatory sources. As each one releases it appears inside the secure online reader — included with All-Access, never sold as a download.
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Board-level AI accountability, risk appetite, investment governance, and executive liability.
What Every Board Director Must Own, Approve, and Attest Before the Regulators Arrive.
The CEO's Framework for Capital Allocation, Vendor Selection, and ROI Accountability in the Age of Regulated AI.
How Regulators Are Holding Individual Executives Accountable for AI Failures — and How to Lead so That Never Happens to You.
AI inventory, risk classification, policy design, the NIST AI RMF GOVERN function, and the full AI Office operating model.
Inventory, Risk Classification, Policy Design, and Evidence Architecture for the Chief AI Officer.
How to Build and Defend a Risk Tier Framework That Satisfies the EU AI Act, ISO/IEC 42001, and Internal Audit Simultaneously.
Building the AI Office From Zero: Staffing, Governance Cadence, Audit Evidence, and the Controls Map Regulators Expect to See.
Architecture, MLOps, LLMOps, model evaluation, data governance, and the AI development lifecycle for regulated environments.
Architecture, MLOps, and LLMOps Decisions That Satisfy the EU AI Act Before the Auditor Walks In.
From Model Card to Technical Documentation: What Engineering Teams Must Build, Log, and Prove at Every Stage.
How to Architect, Deploy, and Govern Multi-Agent AI Without Violating the Rules Already in Force.
AI threat modeling, model and agent supply-chain risk, shadow AI, prompt injection, and EU AI Act cybersecurity controls.
Model Poisoning, Prompt Injection, Shadow AI, and the Cybersecurity Controls the EU AI Act Makes Mandatory Before Deployment.
How Unregistered AI Tools Are Bypassing Your Controls — and the Detection, Governance, and Response Program to Stop Them.
Model and Agent Provenance, Third-Party AI Risk, and the Vendor Security Assessment Program Regulators Now Expect.
Detecting AI-Generated Voice, Video, and Identity Impersonation Used in Enterprise Social Engineering, and the Assurance Program to Contain It.
AI capital investment, ROI tracking, shadow AI costs, procurement governance, and board-ready AI risk reporting.
Capital Investment Rigor, ROI Tracking, and the Financial Governance Model for Enterprise AI Programs.
How to Quantify AI Exposure, Build Board-Ready Dashboards, and Satisfy the Financial Statement Implications of AI Non-Compliance.
How to Detect, Quantify, and Govern the AI Spend That Is Bypassing Your Procurement Process Right Now.
Workforce AI governance, bias testing, human oversight, employee disclosure, and change management.
What Meaningful Human Oversight of Workforce AI Actually Requires — and the Legal Exposure When It Fails.
Bias Testing, Transparency, and the Workforce AI Governance Program That Satisfies Regulators, Protects Employees, and Holds Up in Court.
Change Management, Employee Communication, and the People Governance Program for Organizations Deploying AI at Scale.
Data governance, lineage, quality, and provenance controls that make AI systems defensible, explainable, and audit-ready.
Lineage, Quality, Provenance, and the Data Governance Architecture That Makes AI Systems Explainable, Auditable, and Legally Defensible.
How to Source, Assess, Document, and Defend the Data Behind Every High-Risk AI System You Deploy.
How Data Architecture Decisions Made Upstream Determine Whether AI Outputs Can Be Explained Downstream.
Global frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001, U.S. state laws, APAC, and enforcement intelligence.
EU AI Act, NIST AI RMF, ISO/IEC 42001, Colorado, Texas TRAIGA, Utah, California, NYC LL 144, UK, Canada, China, Japan, and OECD — Mapped and Integrated.
Colorado AI Act, Texas TRAIGA, Utah AI Policy Act, California Frontier AI Transparency, NYC Local Law 144 — Every State Law Decoded.
Building, Certifying, and Maintaining the AI Management System That Regulators, Clients, and Counterparties Are Now Requiring as Standard.
What Enforcement Actions Against AI Systems Tell Us About What Regulators Are Actually Testing For.
China Generative AI Rules, Japan AI Guidelines, Singapore MAS FEAT, and the OECD AI Principles Decoded.
Jobs, roles, and the human cost of automation — for CHROs, people leaders, executives, policymakers, and anyone navigating the human side of the AI transition.
How AI Is Restructuring Jobs, Teams, and Skill Requirements Faster Than Organizations Can Reskill — and the Governance Program That Manages It Responsibly.
How to Design, Fund, and Execute an AI Workforce Transition Program That Retains Talent, Satisfies Regulators, and Actually Works.
The Ethical, Legal, and Governance Framework for Deploying AI That Displaces, Augments, or Redesigns Human Work.
How AI Is Changing the Structure of Organizations, the Shape of Leadership, and the Skills That Get People to the Top.
The Skills, Roles, and Judgment Calls That AI Cannot Automate — and How to Build Organizations That Protect and Reward Them.
Annual and mid-cycle updates: what changed, what it means operationally, and what compliance programs must do in response.
Every Major Regulatory Development Across 30 Jurisdictions — What Changed, What It Means, and What Your Compliance Program Must Do Before Year-End.
How the EU AI Act Is Influencing National Legislation Worldwide — and the Common Compliance Architecture That Works Across All of It.
Where the U.S., EU, UK, China, and APAC AI Frameworks Conflict — and How to Build a Compliance Program That Survives All of Them.
A Jurisdiction-by-Jurisdiction Analysis of AI Enforcement Actions, Regulatory Priorities, and What They Tell You About Where the Risk Actually Is.
AI and its regulation in the next three to five years — strategic foresight for executives, policymakers, investors, and compliance leaders planning beyond the immediate deadline cycle.
What AI Will Be Capable of, What Regulators Will Require, and What Organizations Must Build Now to Be Ready.
The Governance, Accountability, and Control Frameworks for the Era of Highly Capable AI Systems — Before Those Systems Arrive.
How Individual, Corporate, and Governmental Accountability for AI Decisions Will Be Assigned, Contested, and Enforced Over the Next Decade.
When AI Makes Decisions Faster Than Humans Can Review Them — the Technical, Legal, and Ethical Architecture for What Comes Next.
How Organizations That Build Genuine AI Governance Now Will Outcompete Those That Treat It as a Tax — and the Evidence Already Emerging That This Is True.
If AI Systems Become Capable of Performing Most Cognitive Tasks — What Does Governance, Accountability, and Human Oversight Even Mean?
The full table of contents of all five volumes — written from primary regulatory sources and current to June 2026.
The series is authored by the founding partners of AxiLayer AI, Inc. — an independent body with zero commercial relationships with any AI vendor or platform. The technical volumes are written by Ovi Pinzaru; the law, regulation and compliance volumes are co-authored by Ovi Pinzaru and Anisa Kimmig.