AI and machine learning are increasingly popular buzzwords cybersecurity, but not all AI techniques deliver the same value for every use case. Security professionals need to understand the different applications of AI and machine learning and how they can best be applied to address an organization’s specific needs.
The potential of data science, artificial intelligence (AI), and analytics to support cybersecurity defense is incredibly exciting. But what specific techniques and tools are successfully protecting companies against security threats in the real world? When properly implemented, data science can be a highly effective tool against insider threats, data espionage, data destruction, advanced persistent threats (APT), and other cyber-attacks. Unfortunately, it’s not always apparent or easy how to “properly implement” data science. In this presentation, Interset CTO Stephan Jou will explore the role and value of data science in cybersecurity, discuss how to properly deploy and test mathematical models for different use cases, and outline best practices for surfacing analytical insights from machine learning.