AI Attacks on Critical Infrastructure All-in-One

FrostyGoop reached heating controllers and left 600 apartment blocks cold for two days in 2024. AI now compresses that timeline from months to hours. AI Attacks on Critical Infrastructure All-in-One is the defence handbook for operators facing AI-enabled adversaries.The book covers automated reconnaissance of plant networks, generated ICS-aware payloads, adversarial attacks on the machine learning now embedded in predictive maintenance and autonomous control, and deepfake-driven social engineering of operations staff. It is written for OT security leaders, ICS engineers, plant managers, critical infrastructure risk owners and regulators in energy, water, transport and manufacturing.MODEL. Threat models that treat AI as attacker capability and as an embedded plant component, mapped to ATT&CK for ICS.SENSE. Detection tuned to process behaviour and protocol deviation, so an anomalous setpoint is caught before it is physical.CONTAIN. Zones, conduits, safety instrumented separation and recovery that keep a compromise away from the safety case.Anchored on NIST SP 800-82r3, IEC 62443, the CISA Cross-Sector Cybersecurity Performance Goals, NERC CIP, NIS2 and the CER Directive, with Triton, Colonial Pipeline, FrostyGoop and Volt Typhoon dissected as case studies. Inside this volume: 38 chapters in 11 parts, 6 appendices, 71 figures, 56 tables, 304 primary sources and a 302-term index.Key topics include: AI-enabled reconnaissance, ICS-aware malware, adversarial machine learning in industrial control, deepfake social engineering, OT threat modelling, ATT&CK for ICS, process-aware detection, zones and conduits, safety instrumented systems, incident response and recovery for OT, and regulatory compliance for critical infrastructure.