As critical infrastructure becomes increasingly connected, the integration of information technology (IT) and operational technology (OT) opens a world of powerful possibilities. At the same time, it also introduces complex and rapidly evolving security risks. The rise of technologies like 5G and the Internet of Things (IoT) only deepens this challenge, making real-time cyber threat detection more essential than ever.
This session explores how AI-based anomaly detection is being developed and applied to protect critical systems in a digitised world. By continuously monitoring operational data, artificial intelligence can flag unusual behaviour that may signal a cyberattack or critical malfunction and enable faster responses when and where it matters most. This approach strengthens the resilience of digital infrastructure across the sectors society depends on, from energy and manufacturing, to healthcare, law enforcement, and transport.
Senior Research Scientist Sandeep Pirbulal will present recent research and use cases, followed by a panel discussion moderated by Chief Research Scientist Habtamu Abie. Together with invited industry guests (to be announced), they will explore opportunities, limitations, and lessons learned across domains. The session concludes with an open Q&A.
Ideal for industry professionals and anyone interested in cybersecurity, AI in practice, and the future of secure digital systems. Welcome!
Hvordan er denne programposten koblet til teknologi
This session explores how AI-based anomaly detection is being developed and applied to protect critical systems in a digitised world.
