AI Attacks on OT and Critical Infrastructure: How Artificial Intelligence Is Changing ICS, SCADA and Critical Infrastructure Cybersecurity - ... and Manufacturing Defence (OT Rapid Response)

Artificial intelligence is changing how industrial control systems, SCADA and critical infrastructure are attacked, and how they must be defended. AI Attacks on OT & Critical Infrastructure, a Premium Published Edition in the OT Rapid Response Series, is the practitioner reference for that shift.

Part I sets out the AI-enabled adversary: the new OT threat model, how AI changes adversary economics, reconnaissance of industrial environments, and AI-assisted credential and identity attacks. Part II works through the attack surfaces and techniques one by one: engineering workstation compromise, PLC logic manipulation and safety impact, AI-generated industrial malware, autonomous agents in offensive operations, deepfakes and operator social engineering, digital twin abuse and simulation poisoning, AI against industrial protocols, ransomware with AI-assisted targeting, cloud-to-OT attack paths, and supply-chain and model dependency risk.

Part III turns to defence, detection and recovery: industrial AI data poisoning, prompt injection in operational AI, securing AI copilots for engineers, human-in-the-loop safety controls, detection of AI-accelerated intrusions, OT SOC analytics for AI threats, incident response for AI-enabled attacks, and recovery and trusted-state reconstruction. Part IV covers governance for AI in critical infrastructure, board-level AI/OT risk decisions and future scenarios of autonomous industrial conflict.

Three master extensions close the volume: quantitative risk and consequence engineering, purple-team control assurance, and evidence, metrics and data engineering. The book references the IEC 62443 family, NIST SP 800-82, the NIST Cybersecurity Framework, MITRE ATT&CK for ICS and CISA guidance throughout, and is written for defensive cybersecurity, engineering assurance, resilience, audit and governance use across power, water and manufacturing.

Key topics include: AI-enabled OT threat modelling, industrial reconnaissance, PLC and safety system attacks, AI-generated malware, autonomous offensive agents, deepfake operator manipulation, digital twin security, industrial protocol attacks, OT ransomware, cloud-to-OT paths, AI supply-chain risk, OT SOC detection, incident response and recovery, and board-level AI/OT governance.

Professor Kai London is a cybersecurity executive, security architect, author and professional researcher with extensive experience across cybersecurity, critical infrastructure, resilience, governance, risk and technology. His work focuses on complex operational, security and institutional challenges, including cyber resilience, infrastructure protection, evidence, governance, recovery and reconstruction. He writes practitioner-focused professional reference works designed for executives, specialists, researchers and institutional readers.