The Threat Has a Body: Defending Critical Infrastructure Against Kinetic AI

A firewall cannot stop a drone.A fence cannot stop the algorithm guiding it.Artificial intelligence is moving beyond screens and networks. Combined with drones, autonomous platforms, computer vision and robotic systems, it can observe physical environments, identify targets and support actions with real-world consequences.For operators of energy, transport, manufacturing, telecommunications and other critical services, this changes the threat model.In this episode of Cybersecurity Under Pressure, we examine the emergence of kinetic AI and the convergence of cyber, physical and operational risk.We explore:• How AI can accelerate reconnaissance, target identification and attack planning• Why physical security and cybersecurity can no longer operate separately• How autonomous and semi-autonomous systems could threaten exposed infrastructure• Why traditional perimeter controls may fail against distributed and adaptive threats• How OT monitoring, physical sensors and threat intelligence should work together• The importance of redundancy, manual operation and safe degraded modes• How organisations can exercise their response before a digital incident becomes a physical emergencyThe objective is not to predict science-fiction scenarios.It is to prepare for a threat environment in which software can perceive the physical world, make decisions and translate them into action.Critical infrastructure resilience must protect more than networks and individual assets.It must preserve the essential service when both the digital and physical layers are under pressure.Cybersecurity Under Pressure. Real Attacks, Real Lessons.