Tarne Fidler's presentation discusses implementing AI and machine learning to support real-time monitoring and decision making for IT and OT systems. Critical industrial systems are becoming more difficult to secure as connectivity increases and threats rise. AI is needed to continuously learn without maintenance, determine what is normal behavior to detect compromise, and correlate events to reduce alerts. As OT and IT networks connect more, a common security platform is important to encourage skill sharing and reduce team silos. Thousands of unknown threats are caught every day across unusual network connections, inbound remote access, internal reconnaissance, PLC malfunctions, and hacked IoT devices.