ABSTRACT

There is a lot of buzz about the potential of data science, machine learning and analytics in cyberattack and advanced persistent threat (APT) threat detection, but what are the techniques and tools in use and working in the real world? Properly implemented, data science can be a highly effective tool against APT, cyberattacks, and fortify an organization’s interior defense.

Our distinguished speaker, Stephan Jou leads the technology and data science teams at Interset, a leading edge Ottawa company that has developed an award-winning solution, based on machine learning, to detect and prevent cyberattacks. He will describe the feature engineering, mathematical models, visualizations, development techniques and open source tools in real world implementations developed over the past two years, illustrated through four real-world customer examples. The information and techniques will be presented with visualizations, real (anonymized) data, and accessible descriptions of the mathematics, so that deep experience in statistics or mathematics is not required.

Attendees will learn about how data science has been used to detect data theft from a manufacturing company, insider theft in a military defense contractor, system admin data loss in a life sciences company, and compromised account detection in a media company.

PLEASE RSVP BY TUESDAY, MAY 3 TO: cuids@carleton.ca

This seminar is free and open to all. Complimentary coffee, tea and light snacks will be provided beginning at 9:15 a.m. We hope you can join us!

ABOUT THE SPEAKER

Stephan Jou is CTO of Interset, a leading edge cybersecurity company that uses machine learning and behavioral analytics to provide unprecedented insight into how corporate intellectual property is being attacked, moved, shared, and utilized.

Jou was a Technical Architect, Research Staff Member and Sr. Manager at IBM’s Business Analytics Office of the CTO. In his career at Cognos and IBM, he has architected and led the development of over ten 1.0 Cognos and IBM products in the areas of cloud computing, mobile, visualization, semantic search, data mining, and neural networks. A frequent speaker and author, Stephan recently contributed to the Verizon 2015 Data Breach Investigation Report on the use of data science for Insider Threat.

Jou holds a M.Sc. in Computational Neuroscience and Biomedical Engineering, and a dual B.Sc. in Computer Science and Human Physiology, all from the University of Toronto. He has held advisory positions on NSERC Strategic Networks and is involved in setting goals for NSERC Strategic Research Grant research topics in the areas of analytics and security.

Please note that photos or video may be taken at the event which may later be used in print and online media produced by the Institute for Data Science at Carleton University. For any questions or concerns, please contact Kathryn Elliott (kathryn.elliott@carleton.ca).