This session will consist of panel of end users identifying and discussing areas where use of AI and Plant Digital Twin information could improve the efficiency and effectiveness of OT cybersecurity programs.
Many cybersecurity companies are highlighting their use of AI to enhance their product capabilities. This includes embedded use of tools like ChatGPT and CoPilot to find, combine and analyze the information collected and created. While this is a positive development, relying solely on these embedded AI capabilities has limitations. It means that AI use cases will be limited to those that solution providers want to address. More importantly, it ignores the multitudes of other information that industrial companies have regarding the design, operation, and maintenance of facilities and systems. Many industrial companies are already looking for ways to exploit AI and this Digital Twin information to improve plant design & build, operation, maintenance, safety and sustainability. Wouldn’t it make sense for cybersecurity teams to consider how AI and digital twin information might be leveraged to improve their efficiency and effectiveness?
This session will consist of panel of end users identifying and discussing these issues. Participation in this session will benefit OT cybersecurity professionals, users participating in Digital Twin initiatives, suppliers of OT cybersecurity solutions. Suppliers of AI and Digital Twin software, etc.