Abstract: Opinionated Security

The goal with using machine learning in the security space has traditionally been one of trying to determine if someone has infiltrated your systems based on behaviors as observed in log files. In this talk I present where these approaches have been used – both successfully and not so successfully – as well as some of the most common problems encountered when trying to integrate analytics techniques into the security space. I posit that the ultimate goal is opinionated security and describe one approach being developed towards achieving this goal for cloud-based applications.

Bio:

Dr. Carrie Gates is the CTO for Securelytix Inc., an emerging Boston-based
Start-up focused on applying analytics techniques to provide security
monitoring for cloud-based applications.  Prior to joining Securelytix she
was the Chief Scientist (Security) for Dell, where she was responsible for
developing and implementing the security research strategy for the company,
identifying new product areas as well as substantive new capabilities for
existing products.  She came to Dell after seven years with CA Technologies
where she was a Distinguished Engineer responsible for performing security
research that had the potential to impact the strategic direction of existing
security products.  She has over 50 peer-reviewed publications and holds 19
patents.  In 2010 she received CSO Magazine’s Women of Influence Award
(Academic) and in 2015 she was recognized by Computer Business Review as
one of “Five Women Leading the Way in Cyber Security”.