IEEE Ottawa Lunch & Learn in The Kanata Tech Hub!
IEEE Ottawa Lunch and Learn Presents: “Catching Bad Guys with Math” by Stephan Jou (CTO, Interset)
Learn more about IEEE Ottawa Lunch and Learn at the newly launched site: http://ewh.ieee.org/r7/ottawa/lunchandlearn/
March 7th – 11:30-13:30 at Marshes Golf Club
Lunch is provided.
Space is limited.
Register Early: https://www.eventbrite.ca/e/ieee-ottawa-lunch-and-learn-presents-catching-bad-guys-with-math-by-stephan-jou-cto-interset-tickets-32019829171
Organized by the IEEE Ottawa Section in partnership with industry and academic patrons, IEEE Ottawa Lunch and Learn is an initiative to bridge the gap and derive synergy between Ottawa industry, academia, and government.
Connect. Communicate. Collaborate.
Catching Bad Guys with Math: Real World Data Science Use Cases for Cyberattack Detection and Prevention
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 lead 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, Stephan has also contributed to the Verizon Data Breach Investigation Report and ISSA Magazine on the use of data science in cybersecurity. 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.
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. This seminar shall 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.
11:30 – 12:00 Lunch, Networking, and Welcoming Remarks
12:00 – 13:00 Seminar
13:00 – 13:30 Questions and Networking