Master Detection-as-Code in IBM QRadar: Python Automation
Focused View
1:25:28
1 -Introduction.mp4
01:54
2 - Course resources.html
Files.zip
1 -What is DAC.mp4
02:22
2 -DAC in the context of QRadar.mp4
03:28
1 -PyQt6 Skeleton.mp4
02:52
2 -Pulling rules from QRadar via API.mp4
08:50
3 -Exporting rules from QRadar via API.mp4
24:49
4 -Importing rules to QRadar via API.mp4
12:30
1 -Github Integration.mp4
24:59
1 -Final words.mp4
03:44
More details
Course Overview
Learn to implement Detection-as-Code methodologies in IBM QRadar using Python and GitHub to automate security rule deployment and enhance SOC efficiency.
What You'll Learn
- Implement detection-as-code practices in IBM QRadar
- Automate deployment of detection rules via Python
- Integrate QRadar with GitHub for rule management
Who This Is For
- Security analysts/engineers familiar with QRadar
- SOC professionals adopting detection-as-code
- Developers creating custom QRadar detection rules
Key Benefits
- Streamline security operations through automation
- Enhance threat detection with coded custom rules
- Master API integration between QRadar and GitHub
Curriculum Highlights
- Introduction to detection-as-code concepts
- QRadar API rule management with Python
- GitHub integration for version control
Focused display
Category
- language english
- Training sessions 9
- duration 1:25:28
- Release Date 2025/06/11
