Conceived, directed and published by Gunnar Nordqvist. The text was written by AI agents under his briefs and was reviewed and approved by him. He is not the author of the book in the ordinary sense of the word.
In plain words, the work was divided as follows. Gunnar Nordqvist chose the subject, set the table of contents, wrote the brief for every chapter, defined the author persona and the style rules, reviewed and approved every change, and answers for the result. The AI agents drafted the prose, ran the checks and did the formatting. Wherever the book says "the author", it means Gunnar Nordqvist in that role: the person who directs the book and is accountable for it, not the writer of its sentences.
This book, like the other volumes of The Transformed Architecture, Architecture as Code, AI Governance and AI Platform and Security, draws on decades of practice at the intersection of enterprise architecture, infrastructure engineering, information security, and organisational change. It is directed from the perspective of a practitioner who has watched architecture move from documents to code and who now applies the same discipline to artificial intelligence in large European organisations.
Primary topics explored
- Who made this book
- Gunnar Nordqvist
- About Kvadrat
- Swedish terminology reference
- How this book was made
- The book's technical foundation
About AI Red Team
AI Red Team is Book 4 of The Transformed Architecture. It shows how large European enterprises and public authorities put artificial intelligence to work as an active part of cyber defence: AI-assisted red teaming and adversary emulation, red teaming of AI systems themselves, the AI-assisted security operations centre, detection engineering, threat intelligence, incident response and purple teaming, all under a lawful mandate and with evidence a supervisor can inspect.
It builds on the conclusions of Architecture as Code, AI Governance and AI Platform and Security.
CISOs, SOC leads, red and blue team practitioners, security architects, AI architects and technical decision-makers.
Continue with the full chapter
About the Author: About the Author in AI Red Team gives the detailed explanations, practical examples and implementation patterns behind this summary.
This whitepaper belongs to “Appendices” and is one of 32 drawn from the manuscript.