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1
Intro
2
Threat Intelligence
3
Data Modeling & Analysis
4
Applying Python
5
argparse
6
logging
7
rich
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httpx
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Model Or It Didn't Happen
10
Modeling Network Scan Data
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Inspecting Files
12
Generating Detections
13
Engineering without Engineers
Description:
Explore the world of threat intelligence and discover how Python can automate tedious tasks, enabling analysts to tackle complex security challenges. Learn about major hacks, their perpetrators, and motivations in this 23-minute PyCon US talk by Aaron Stephens. Gain insights into the development process of a team without dedicated developers, balancing productivity with process, and achieving success at scale. Dive into practical Python tools and techniques used in threat intelligence, including data modeling, analysis, and generating detections. Understand how to apply libraries like argparse, logging, rich, and httpx to enhance your workflow. Perfect for part-time developers and analysts looking to leverage Python for more efficient threat intelligence operations.

Python for Threat Intelligence

PyCon US
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