Raw security logs are full of information—but until you parse them, you may miss the clues pointing to suspicious activity.

Welcome to Video 7 of AI-Driven Cyber Security: Zero to Job-Ready by The Techzeen.

In this hands-on practical, we use Python to read, filter and parse security logs, extract suspicious IP addresses as Indicators of Compromise (IoCs), and work with both unstructured logs and structured JSON logs.

What You'll Learn & Build:
Read security logs using Python
Parse unstructured log data
Filter suspicious security events
Use Python re / Regular Expressions
Extract IP addresses from logs
Identify Indicators of Compromise (IoCs)
Remove duplicate IoCs using Python set()
Read and filter JSON security logs
Build a practical Python security log parser

Practical Flow:
Raw Logs → Python → Filtering → Regex → IoC Extraction → JSON Analysis

By the end, you'll understand a fundamental skill used in SOC operations, threat detection, security automation and AI-powered cybersecurity systems.

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Source Code:
https://github.com/farzeen-ali/Python-Parsing-IOC

Full Playlist (AI Driven Cyber Security):
https://www.youtube.com/playlist?list=PLMnWzLCjYQQk

Get Lecture Notes (GitHub):
https://github.com/farzeen-ali/AI-Driven-Cyber-Security

Join Techzeen Cyber Security WhatsApp Community:
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