Threat Hunting with Python and Pandas


Posted on in Presentations

This presentation will explore threat hunting in a more iterative, efficient, and scalable approach by exploring the application of data science techniques to cybersecurity data analysis. We will be examining the use of Python, Pandas, and Scikit-Learn to gain additional visibility into threat hunting. We will demonstrate how this approach can work in cyber operations.

Participants
Matt Dulle

Speaker

Lead Reverse Engineer, Johns Hopkins Applied Physics Laboratory

Anthony Talamantes

Speaker

Manager, Cybersecurity Operations, JHUAPL


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