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AI Attacks on OT & Critical Infrastructure: How AI Is Rewriting ICS, SCADA and Critical-Infrastructure Defence
Paperback
General ComputersComputer Security
Publisher: Independently Published
Published: Sep 1 2026
Pages: 802
Weight: 2.98
Height: 1.59 Width: 7.50 Depth: 9.25
Language: English
A state actor lived inside the plant for five years. Would you survive the seventy-two hours after you found out?
Artificial intelligence has not invented new ways into the plant - it has made the cheapest existing ways cheaper still. Reconnaissance, credential theft, deepfake pretexting and industrial malware are now machine-accelerated, and the economics have tilted hard toward the attacker who automates first. This is the field manual for defending operational technology against that adversary.
Inside this 800-page field manual you will learn to:
- Model the AI-enabled threat to ICS, SCADA and critical infrastructure
- Detect and defeat PLC logic manipulation and digital-twin abuse
- Counter prompt injection and autonomous offensive agents
- Harden identity, telemetry and recovery when systems can no longer be trusted
- Govern AI risk to a board-ready standard - 25 chapters, 16 appendices
Who it's for: OT/ICS security leaders, plant and control engineers, CISOs, and critical-infrastructure risk owners.
Every chapter opens on a real, dated, documented incident and closes with a one-line Boardroom Intelligence takeaway a director can act on. A full Source-Notes appendix lets every claim be checked.
Trust the process. Verify the telemetry.
About the author
Professor Kai London (CISSP, CISM) is an internationally recognised cybersecurity executive, board advisor and author with 25+ years defending banking, aviation, defence, government and critical national infrastructure.
This single, exhaustively engineered reference is built to replace an entire shelf of vendor manuals and generic AI-security primers - every chapter, checklist, and defence-in-depth template is designed for immediate use by working OT and critical infrastructure teams facing generative and agentic AI-driven attacks, making it the highest-value, most complete investment a plant, utility, or security program can make in staying ahead of the next generation of threats.
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