In this talk I want to shed some light on data science’s place within security. You can expect to learn how to see through common data science jargon that’s used in the industry, as well as to get a high level understanding of what’s happening behind the scenes when data science is successfully applied to solve complex security problems.
The talk is aimed at anyone who's been curious or had questions about the rise of things like "machine learning" or "big data" in the context of security. No prior data science knowledge is required.
Thordis Thorsteins: A background from mathematics and an interest in computer science led me into a field that sits nicely in the intersection of the two - data science. Before applying data science to security I worked in risk management, but a year and a half ago I joined Panaseer where I work with the rest of the team to derive useful insights for customers from their security data.