AI Attacks on Critical Infrastructure All-in-One by Kai London
The adversary now brings machine speed to the plant floor. Generative and agentic AI have collapsed the cost of reconnaissance, protocol abuse and social engineering against the systems that keep the lights on, the water clean and the trains moving. This handbook sets out what actually changes for defenders — and what does not.
Available on Amazon.
What is inside
The AI-enabled attack path
How generative and agentic tooling compresses reconnaissance, initial access and lateral movement into industrial environments.
Sector by sector
Energy, water, manufacturing and transport — where the exposure differs and where the same engineering controls apply.
Engineering controls that hold
Segmentation, conduits, safety instrumented systems and manual fallback: the defences that do not care how clever the attacker is.
Detection under AI pressure
Monitoring industrial protocols and operator behaviour when the traffic is designed to look legitimate.
Response and recovery
Isolation, safe state, manual operations and a defensible return to production.
Board and regulator reporting
Turning AI-era industrial risk into language an executive committee and a regulator can both act on.
Who it is for: CISOs and OT security leaders in critical national infrastructure, plant and operations managers, control system engineers, and boards accountable for continuity of essential services.
The attacker got faster. The physics did not change. Defend the process, not the hype.
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.