In a world where adversaries are evolving their tools and techniques, defenders also need to advance their techniques to stay one step ahead of the ever evolving threat. While breach prevention used to rely heavily on static, signature-based detection, this is no longer an approach that will keep even simple threats out of your environment. This session will explain how AI, deception, and dynamic, behavioral analysis can enable organizations to prevent advanced attacks including ransomware, fileless malware, and never-before-seen threats.
Striem-Amit is a machine learning, big data analytics and visualization technology expert with over a decade of experience applying analytics to security in the Israeli Defense Forces and Israeli governmental agencies. Prior to founding Cybereason, he headed development for Watchdox, a leading DRM and SaaS security startup.