As AI becomes embedded in physical systems—from energy infrastructure to robotics and autonomous platforms—cybersecurity challenges extend beyond IT into the physical world of operations and critical systems.

This session explores how cybersecurity, AI, and control systems converge in cyber-physical environments, where failures or attacks can have real-world consequences. It highlights how advanced sensing, control, and AI techniques are used to monitor, protect, and respond to threats in real time—ensuring both safety and resilience.

With increasing connectivity and autonomy, organisations must rethink security as an integrated part of system design—combining engineering, AI, and operational practices to safeguard complex infrastructures.

Key takeaway: As industry becomes more autonomous and interconnected, cybersecurity must move closer to operations—enabling organisations to secure not just data, but the physical systems that drive their business.

This session is part of DTU's Industrial AI Program: From Artificial Intelligence to Industrial Intelligence at Digital Tech Summit 2026. Through a series of connected sessions, DTU brings together leading research and industry perspectives to explore how AI is reshaping products, processes, and operations across the industrial landscape.

Partners (the overall Industrial AI program): AI Denmark and AI Boost