Preventing Threats using Machine Learning, Contextualization and Predictability

Presented by

David Dufour, Senior Director of Security Architecture, Webroot

About this talk

With the rapidly accelerating nature of attacks on network infrastructure and software systems approaches such as static block lists, manual policy configurations and other current prevention techniques have become outdated. Through the use of distributed computing, contextualization and machine learning it is possible to build tools that analyze data across multiple threat vectors allowing for the development of predictive algorithms and a greater understanding of an organizations threat landscape. We will walk through common machine learning techniques, discuss contextualization, how predictive logic works and see a demonstration of contextualized threat intelligence.

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The International Council of E-Commerce Consultants (EC-Council) is a member-based organization that certifies individuals in various e-business and security skills. It is the owner and developer of the world famous Certified Ethical Hacker (C|EH), Computer Hacking Forensics Investigator (C|HFI) and EC-Council Certified Security Analyst (E|CSA)/License Penetration Tester (L|PT) programs, and various others offered in over 60 countries around the globe.