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.

• Access to 2-hour recorded practical lesson
• Training materials to download
• The virtual training covers: the difference between supervised and unsupervised machine learning in cybersecurity, the confusion matrix and the 4-stage machine learning lifecycle, why machine learning is important for cybersecurity, machine learning challenges in IT security, 4 segments that machine learning can apply to in cybersecurity, understanding the role of Windows Defender ATP, understanding the benefits, features, and mechanics of Microsoft ATA, busting 5 myths of machine learning in cybersecurity.
• 3 demos included: Microsoft ATA, Misleading classic AV systems, Windows Defender AT
  One year of access to video recording and training materials for you to keep and get back to whenever needed.

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.