How the Canadian Advancements in Artificial Intelligence Are Changing the Game in Defending Educational IT Infrastructure From the Cyber Adversaries

During this session we will discuss how Artificial Intelligence is able to detect sophisticated unknown malware which goes undetected using traditional machine learning and other Detection technologies. 2015 Intel Security report identified the unknown malware challenge correlated to 1 million net new pieces of malware in the wild, every single day, roughly 42 net new pieces of malware in the wild every hour. Early 2016 reports indicate these numbers have doubled. The sophistication of the unknown malware problem now includes malware that is being developed using traditional machine learning. During this session we will share the advancements in Artificial Intelligence, discovered in 2012 via the University Toronto research team, funded by the Canadian Federal government. These advancements to the Artificial Intelligence community have resulted in an artificial brains decision making capability that surpasses the human error rate, regardless of its application: Facial Recognition, Voice Recognition, Content and Cyber.


  • What were the 2012 advancement in Artificial Intelligence and its value to the unknown malware challenge
  • How can these AI advancements augment current defensive infrastructure
  • The future of AI and its applicability to the malware challenge
  • Here from Seneca how this innovation is changing the game in their cyber defense program

Presented by:

  • Brian Devins – IT Security Analyst, Seneca College
  • Konstantinos Evangelakos – Solutions Engineer, Deep Instinct

Scheduled:  Wednesday, May 17, 1:00 – 1:50, room S420