Preventing Threats using Machine Learning, Contextualization and Predictability May 21 2015

  • 4 May 2015
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David Dufour, Senior Director of Security Architecture, WebrootMay 21 2015 1:00 pm EDT
 45 minsWith 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approaches such as static block lists, manual policy configurations and other current prevention techniques have become outdated.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. Daniel 🙂

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