Threat Hunting with Python and Pandas

Presenters:
Matt Dulle, Johns Hopkins Applied Physics Laboratory
Anthony Talamantes, JHUAPL

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.

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