AI, Cyberwar & Critical Infrastructure by Kai London
Essential services are absorbing AI on both sides of the ledger: into detection, operations and maintenance, and into the toolkit of those who would disrupt them. AI, Cyberwar & Critical Infrastructure sets out what genuinely changes for operators of physical, safety-critical estates — and what does not.
What the book covers
What AI changes for attackers
Scale, speed and social engineering quality — described at the level of capability classes rather than as attributed campaigns.
AI in the defended estate
Detection, anomaly analysis and triage in OT environments, with honest treatment of false positives and operator trust.
Model risk in operations
What happens when a model informs a control decision: validation, drift, fallback and safety interlocks.
Segmentation and safety
Applying IEC 62443 zones and conduits where AI services sit alongside operational systems.
Regulatory overlap
Where NIS2 obligations and EU AI Act requirements meet in the same deployment.
Assurance and evidence
The documentation an operator needs to show that AI-assisted decisions were controlled.
Analytical and even-handed throughout: no attribution of activity to named states or actors, no prediction of conflict, and no operational attack guidance.
Who it is for
CISOs and OT security leaders, plant and control-systems engineers, utilities, transport and manufacturing operators, and risk and compliance teams at essential and important entities.
About the author
Professor Kai London — CISSP, CISM.
An internationally recognised cybersecurity executive, board advisor and Founder & CEO of Quantum AI Systems Security LLC, writing at the convergence of AI, governance and operational resilience. Honorary Professor and Researcher at UCL.