Building Gen AI-Assisted OT Security Operations: Design Challenges for Successful Deployment
Course
Dr. Mohamed Abdur Rahman demonstrates how generative AI can monitor OT operations, detect attacks, block attackers and restore assets to working states, showing how AI-driven tools can fortify OT networks against evolving threats.
As OT environments converge with IT, securing these critical infrastructures requires more than traditional cybersecurity models. This session explores the integration of next-generation generative AI in an OT security operations center (SOC) to enhance predictive maintenance, anomaly detection and real-time threat hunting. Gen AI’s ability to understand baseline OT operations and detect deviations marks a transformative shift in human-AI collaboration, enabling OT SOC analysts to investigate evidence and generate human-understandable reports.
In this session, you will also witness a hands-on demonstration showcasing how gen AI can be designed and implemented to monitor OT industrial operations in real time, detect and defend against various attack types, block attackers, and restore OT assets to their last-known working state. This approach addresses the unique challenges of OT environments, integrating AI-driven forensics, XDR and SOAR tools to fortify OT networks and ensure continuous adaptation to evolving threats.
Here is the course outline:
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