Machine learning is both cool and valuable, but to apply it effectively requires that we disregard the former in order to be rigorous about the latter. In this session we take a hard look at the qualities that make machine learning fit for purpose for problems in cyber security in order to lay out a global roadmap for how machine learning can solve security problems today. Even more importantly, our bottom-up analysis of machine learning will chart the areas where an excessive faith in automation can become harmful to a business' security posture.
About the presenter:
Greg has previously managed products and product teams for gaming and education startups with a focus on meaningful, measurable engagement loops. His games have been ranked in the top ten by traffic on Facebook, the top ten by revenue on the App Store, and as the Editor's Choice in the App Stores of over 70 countries.