Date & Time
Tuesday, October 16, 2018, 10:15 AM - 11:45 AM
Category
Professional Techniques
Description
This session will dive in deeply as to why predictive analytics and AI/deep learning are needed as incremental technologies for security and risk assessment, as well as mitigation. Topics addressed will include a review of the significantly expanded set of attack vectors (attack types x asset types), with examples shown and both traditional gaps and solutions highlighted.  Other topics will include how to improve predictive capabilities by analyzing internal asset data vs. external threat feeds vs. contextual analysis.  Demos will be shown of how each of these approaches/actions can be modeled and applied, along with a production case study example.
Speaker(s)
Vinay Sridhara
Speaker Bio(s)

Dr. Vinay Sridhara is CTO at Balbix and has more than a decade of R&D experience in wireless communication, security, and machine learning.

Prior to joining Balbix, Vinay worked at Qualcomm Research for over 9 years, where he worked on wireless networking, mobile security and machine learning. While at Qualcomm, he served on several IEEE 802.11 working groups and contributed to several core areas in these standards.

Vinay has a Ph.D. in ECE and Masters in CS from USC and University of Delaware. He has authored many research papers, and holds over 100 patents.

CEUs
1.8