Threat Hunting with Python teaches students how to take threat hunting hypotheses generated from contextual data or threat intelligence feeds, and then write Python scripts that interact with various data sources and perform data analytics to determine the validity of those hypotheses. Techniques include the use of advanced data structures, active data gathering using SCAPY and other tools, scripting database or SIEM queries, and more. Successful students will gain the ability to script or automate a variety of custom threat hunting tasks, and speed up their threat hunting processes.
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The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
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