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AI and Machine Learning in Network Security – Igor Mezic
The use of machine learning (ML) in network security has grown over the last decade, from academic research to the levels where many vendors are enhancing their products with elements of ML. There is also much discussion of artificial intelligence (AI) in this context. I will describe the relationship between AI and ML, and discuss the waves of AI development that progressively increased its utility in many fields. I will also discuss why many attempts to use the so-called first and second-wave AI in network security, while providing benefits, introduced additional issues or could not be scaled to provide a fuller solution. Finally, I will argue that the current efforts in third wave – generative and hybrid AI – solutions have provided approaches that solve these issues.
Igor Mezic (Chief Scientist at Mixmode.AI)
Professor Mezic works in the field of artificial intelligence (AI), dynamical systems, control theory and applications to network security, energy efficient design and operations in complex systems. He did his Ph. D. in Dynamical Systems at the California Institute of Technology. Dr. Mezic was a postdoctoral researcher at the Mathematics Institute, University of Warwick, UK in 1994-95. From 1995 to 1999 he was a member of College of Engineering at the University of California, Santa Barbara where he is currently a Distinguished Professor. In 2000-2001 he has worked as an Associate Professor at Harvard University in the Division of Engineering and Applied Sciences. He won the Alfred P. Sloan Fellowship, NSF CAREER Award from NSF and the George S. Axelby Outstanding Paper Award from IEEE. He also won the United Technologies Senior Vice President for Science and Technology Special Achievement Prize in 2007. For his work on analysis and control of complex systems, he was named Fellow of the American Physical Society, Fellow of the Society for Industrial and Applied Mathematics, and Fellow of the Institute of Electrical and Electronics Engineers. He is the recipient of the 2021 Crawford Prize, awarded once in two years to a researcher in Dynamical Systems Theory. Dr. Mezic is the Director of the Center for Energy Efficient Design and Head of Buildings and Design Solutions Group at the Institute for Energy Efficiency at the University of California, Santa Barbara. He holds 10 US patents. He founded Aimdyn, Inc. in 2003 and is the CTO and Chief Scientist of Mixmode.ai.
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