How can we trust AI in Cybersecurity?

Mohammed M. Alani - Rochester Institute of Technology

March 27, 2026, 2:30 p.m. - March 27, 2026, 3:30 p.m.

ENGMD 280

Hosted by: Veronica Xia (CSGS)

With the cybersecurity market exceeding 50USD billion, are organizations doing enough to stops the rapid increase in attacks? The trends and the success rates of the attacks suggest otherwise. Machine learning introduces itself as a good candidate to help build anomaly-based detection systems that can support the current cybersecurity infrastructure. However, there is noticeable resistance in the cybersecurity industry to accept machine-learning based solutions as part of the fight against malicious actors. In this lecture, we will discuss the roots of this problem, and practical solution steps to build the synergy between machine-learning scientists and cybersecurity practitioners.

 

Mohammed M. Alani holds a PhD in Computer Engineering with specialization in network security. He has worked as a professor, and a cybersecurity expert in many countries around the world. His experience includes working in many academic institutions, network and security consultancies in the Middle-East, and Cybersecurity Program Manger in Toronto Canada. He currently works as a Professor of Cybersecurity at Rochester Institute of Technology (RIT-Dubai). He is currently serving as an ACM Distinguished Speaker. He was selected as Top 2% cited researcher for several consecutive years. He has delivered multiple keynote speeches around the world including in Canada, UK, UAE, and Morocco.  He has authored multiple books in different areas of networking and cybersecurity along with many research papers published in highly ranked journals and conferences. His current interests include applications of machine learning in cybersecurity, and machine learning security