January 6, 2020

190 words 1 min read

Rapid data science exploration for cybersecurity

Rapid data science exploration for cybersecurity

The key to successful threat detection in cybersecurity is fast response. George Williams, Harini Kannan, and Alex Comerford offer an overview of specialized extensions they have built for data scientists working in cybersecurity that can be used and deployed via JupyterHub.
Talk Title Rapid data science exploration for cybersecurity
Speakers George Williams (GSI Technology), Harini Kannan (Capsule8), Alex Comerford (Capsule8)
Conference JupyterCon in New York 2018
Conf Tag The Official Jupyter Conference
Location New York, New York
Date August 22-24, 2018
URL Talk Page
Slides Talk Slides
Video

Notebooks have rapidly become the most important tool for data scientists. From exploratory data investigation to productionalization, notebooks now regularly factor into the entire data science pipeline. Jupyter notebooks, in particular, can be extremely valuable for crafting threat detection products in cybersecurity. George Williams, Harini Kannan, and Alex Comerford demonstrate some of the capabilities they have developed at the intersection of data science and cybersecurity and explain how Jupyter notebooks play a central role in that effort. Specifically, they offer an overview of specialized extensions they have built for data scientists working in cybersecurity that can be used and deployed via JupyterHub.

jupyterhub threat security cybersecurity data science jupyter book pipeline
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