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SF Bay ISSA September 2020 Chapter Meeting
Description
Topic: Demystifying Machine Learning in Cyber Security & Connecting the Dots Through Graph ML
Artificial Intelligence (AI) and Machine Learning (ML) have become the buzz words for Cyber Security. Everyone is talking about them, as if they are magic black boxes. In this talk, we are going to white-box ML to some extent to understand what is possible with the current generalization of technology in particular for the cyber security field. Furthermore, we will dive into one important example, how we can use Graph ML to better “connecting the dots” and to link multiple individual suspicious activities to understand the big picture of attacks.
4:00 - 4:30PM PST Meet and greet
4:30 - 4:45PM PST Chapter Business
5:00 - 6:00PM PST Presentation
Time
Sep 16, 2020 04:00 PM in
Pacific Time (US and Canada)
Webinar is over, you cannot register now. If you have any questions, please contact Webinar host:
Patrick Huber
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Hi there, You are invited to a Zoom webinar. When: Sep 16, 2020 04:00 PM Pacific Time (US and Canada) Topic: SF Bay ISSA September 2020 Chapter Meeting Register in advance for this webinar: https://zoom.us/webinar/register/WN_nQxg9E2TTnSj4GVJitkODQ After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Dr. Albert Zhichun Li (Chief Scientist @Stellar Cyber) Dr. Albert Zhichun Li serves as chief scientist at Stellar Cyber, a Silicon Valley-based security company that created the industry’s first Open Detection and Response (Open-XDR) platform. Li has 20-year experiences in security, and 15-year experiences in applying ML to security. Previously, Li was the head of NEC Labs computer security department, where he initiated, architected and commercialized NEC’s own AI-driven security platform, and 9 of his direct reports became security professors in top universities. Li has filed about 50 U.S. patents and has published 50+ seminal research papers in top security, AI and system academic conferences. His research has been featured in media outlets like MIT Technology Review and Wall Street Journal. He has a doctorate in system and network security from Northwestern University.
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