Industrial AI Security All-in-One: Securing Agents, Digital Twins, Machine Learning, Robotics, IIoT and Autonomous Operations

A deepfake CFO authorised $25 million on a video call. Now imagine a synthetic engineer authorising a firmware push.Industrial AI concentrates risk exactly where it creates value: at the junction of models, data and actuation. Poison the sensor and you poison every decision downstream; an agent that reads untrusted input can be instructed by untrusted input; a digital twin is a map of precisely how to break the real thing. This is the definitive manual for putting AI to work in operations without handing it the keys.This all-in-one guide shows you how to secure: - AI agents, digital twins and ML pipelines end to end- Sensor trust, data integrity and prompt-injection defence- Autonomy limits, human-in-the-loop control and robotics- Machine identity, the model supply chain and drift monitoring- Incident response, model rollback, governance and the maturity roadmapWho it's for: Industrial AI and OT security teams, ML and controls engineers, and technology risk leaders.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."Put AI to work without handing it the plant."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.