CyberBytes: Machine learning for cybersecurity

If you are a security operator, security administrators, or cybersecurity expert with aspirations in this field, this training will equip you with a new, exciting approach to cybersecurity.

Topics covered:

1. The difference between supervised and unsupervised machine learning in cybersecurity.
2. The confusion matrix and the 4-stage machine learning lifecycle.
3. Why machine learning is important for cybersecurity.
4. Demo: Misleading classic AV systems.
5. Machine learning challenges in IT security.
6. Four segments that machine learning can apply to in cybersecurity.
7. Understanding the role of Windows Defender ATP.
8. Demo: Windows Defender ATP
9. Understanding the benefits, features, and mechanics of Microsoft ATA.
10. Demo: Microsoft ATA
11. Busting 5 myths of machine learning in cybersecurity.

PLEASE NOTE: It may take 2-3 business days for your course access to be activated. You will receive an email from us with all necessary details.