Skip to main Communities My dashboard Log in Sign up Published April 15, 2026 | Version Version 3.0 – Defensible AI Governance Edition Report Open AIGN OS 3.0 – The Operating System for Defensible AI Governance Authors/Creators Upmann, Patrick (Rights holder) Description This version introduces Defensibility as a core system requirement and extends AIGN OS 2.0 into a defensible AI governance architecture. AIGN OS 3.0 – The Operating System for Defensible AI Governance is the world’s first certifiable AI Governance Operating System aligned with Europe’s 2025 integrated regulatory architecture. The system operationalises the EU AI Act (Reg. 2024/1689), GDPR 2.0 (Digital Omnibus Package 2025), the EU Data Act, NIS2, DORA, ISO/IEC 42001 and the Data Governance Act into a unified, auditable governance infrastructure. AIGN OS 3.0 introduces a seven-layer governance architecture that integrates organisational accountability, lifecycle controls, compliance engines, sector-specific frameworks, operational toolchains, maturity diagnostics, and trust-infrastructure certification pathways. It enables organisations to implement governance-by-design from the first line of code to post-deployment monitoring. It establishes Defensibility as the defining capability for organisations operating AI systems under audit, regulatory scrutiny, and legal challenge. Defensibility is defined as the ability to reconstruct, attribute, and justify AI-driven decisions in real-world conditions. This edition embeds Europe’s new architecture-driven regulatory paradigm, including: • entity-relative identifiability (GDPR Art. 4), • EU-level pseudonymisation criteria (Art. 41a), • machine-readable consent signals (Art. 88b), • the lawful basis for AI training and operation (Art. 88c), • harmonised EU DPIA templates & black/whitelists, • unified GDPR–NIS2–DORA Single Entry Point incident logic, • Business Wallet–ready evidence bundles, and • Data Union Strategy safeguards for cross-border data flows. AIGN OS 3.0 transforms AI governance from reactive compliance into architecture-driven systemic control. It provides operational maturity assessments (ASGR Index), sector frameworks (Global, SME, Education, Agentic AI, Culture, Data Governance), and certifiable trust labels for enterprises, education systems, and agentic-AI operators. Developed and authored by Patrick Upmann, the Architect of Systemic AI Governance, AIGN OS constitutes protected intellectual property under EU copyright and digital infrastructure law. Redistribution, certification, commercial use or institutional deployment requires a valid AIGN License. © 2025 Patrick Upmann – All Rights Reserved. Files AIGN_OS_3.0_DOI_Publication.pdf Files (327.9 kB) Name Size Download all AIGN_OS_3.0_DOI_Publication.pdf md5:1a41bf08172306d1e744b5a00c973ba4 327.9 kB Preview Download Additional details Related works Is new version of Report: 10.2139/ssrn.5374312 (DOI) Dates Issued 2026-04-15 References European Union. (2024). EU AI Act (Regulation 2024/1689). Official Journal of the European Union. European Union. (2025). GDPR 2.0 – Digital Omnibus Package. Amendments to Articles 4, 41a, 88b, 88c. European Union. (2023). EU Data Act (Regulation 2023/2854). Official Journal of the European Union. European Union. (2022). EU Data Governance Act (Regulation 2022/868). European Union. (2022). NIS2 Directive (Directive 2022/2555). European Union. (2022). DORA (Regulation 2022/2554). European Commission. (2025). Data Union Strategy. European Commission. (2025). European Business Wallet Regulation (Draft). ISO/IEC. (2023). ISO/IEC 42001: Artificial Intelligence Management Systems. ISO. (2018). ISO 31000: Risk Management Principles and Guidelines. OECD. (2019). OECD AI Principles. NIST. (2023). NIST AI Risk Management Framework. McKinsey. (2024). The State of AI in 2024. PwC. (2024). Global AI Study – AI Governance Gaps and Organizational Risk. Accenture. (2023). AI Maturity Index – The Path to AI-Enabled Responsible Growth. World Economic Forum. (2023). The Governance Gap: Challenges in Real-World AI Deployments. OECD AI Observatory. (2023). AI in Public Services: Adoption and Accountability. IDC. (2024). AI Spending Forecasts by Sector 2024–2026. Mintzberg, H. (1983). Structure in Fives: Designing Effective Organizations. Giddens, A. (1984). The Constitution of Society: Structuration Theory. Floridi, L., & Cowls, J. (2020). A Unified Framework for AI Ethics. Journal of Ethics and Information Technology. (Various authors). Ethics of Care and AI. Socio-technical System Governance Literature (various sources). Upmann, P. (2025). AIGN OS – The Operating System for Responsible AI Governance. SSRN. DOI: 10.2139/ssrn.5374312 Upmann, P. (2025). AIGN OS – Trust Infrastructure: Certification, Licensing, and Market Enforcement for Responsible AI. SSRN. DOI: 10.2139/ssrn.5561078 Upmann, P. (2025). AIGN OS – AI Agents: The AI Governance Stack as a New Regulatory Infrastructure. SSRN. DOI: 10.2139/ssrn.5543162 Upmann, P. (2025). AIGN Systemic AI Governance Stress Test. SSRN. DOI: 10.2139/ssrn.5489746 459 Views 148 Downloads Show more details All versions This version Views Total views 459 328 Downloads Total downloads 148 56 Data volume Total data volume 114.6 MB 20.7 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords AIGN OS AI Governance Systemic AI Governance EU AI Act GDPR 2.0 Digital Omnibus Governance Architecture ISO/IEC 42001 Data Act NIS2 ASGR Index Details DOI DOI Badge DOI 10.5281/zenodo.19591992 Markdown [](https://doi.org/10.5281/zenodo.19591992) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19591992.svg :target: https://doi.org/10.5281/zenodo.19591992 HTML <a href="https://doi.org/10.5281/zenodo.19591992"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19591992.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19591992.svg Target URL https://doi.org/10.5281/zenodo.19591992 Resource type Report Publisher AIGN – Artificial Intelligence Governance Network (AIGN OS Research) Languages English Rights License Creative Commons Attribution Non Commercial No Derivatives 4.0 International No further description. Read more Copyright © 2026 Patrick Upmann – All Rights Reserved. Citation Export Technical metadata Created April 15, 2026 Modified April 15, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies