Published on: 2024-10-02 14:54:36
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Detection Engineering Masterclass: Part 2 is a training course on techniques and methods of detection engineering published by Udemy Online Academy. Detection Engineering Masterclass: Part 2 is an advanced course aimed at cyber security professionals looking to deepen their knowledge of detection engineering techniques and practices. This masterclass builds on fundamental concepts and addresses more complex detection strategies, focusing on developing effective detection rules and frameworks for detecting malicious activity. Participants will explore various detection methods, including anomaly detection, signature-based detection, and the use of machine learning to enhance detection capabilities. The course emphasizes hands-on learning, with hands-on exercises that allow learners to create and implement recognition rules in real-world scenarios.
This course first teaches the theory of security operations and diagnostic engineering. Then you will start building your home lab using VirtualBox and Elastic. You then run three different attack scenarios, each one more complex than the last. Wrapping things up, you host all your detections on GitHub and sync with Elastic through your GitHub Action automations. This course takes students from A-Z in the life cycle of diagnostic engineering and the technical implementation of diagnostic engineering architecture. At the end of this masterclass, participants will have a strong understanding of how to design and deploy effective detection mechanisms that will ultimately improve their organization’s security posture against evolving threats.
Publisher: Udemy
Instructors: Anthony Isherwood
Language: English
Level: Introductory
Number of Lessons: 33
Duration: 5 hours and 29 minutes
Completion of “Detection Engineering Masterclass: Part 1”
Basic understanding of Python
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
2.7 GB
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