Demystifying AI and Machine Learning to Enhance SOC Detection

Demystifying AI and Machine Learning to Enhance SOC Detection

Black Hat via YouTube Direct link

PRINCIPAL COMPONENT ANALYSIS

18 of 21

18 of 21

PRINCIPAL COMPONENT ANALYSIS

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Demystifying AI and Machine Learning to Enhance SOC Detection

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  1. 1 Intro
  2. 2 CONTEXT
  3. 3 MACHINE LEARNING IN SOC TEAM
  4. 4 OOTB BEHAVIORAL ANALYTICS
  5. 5 MACHINE LEARNING 101
  6. 6 ISOLATION FOREST
  7. 7 DEEP LEARNING: ANN
  8. 8 DEEP LEARNING: AUTOENCODERS
  9. 9 EXFILTRATION IS PART OF THE MATRIX
  10. 10 MACHINE LEARNING (AND DS) METHODOLOGY
  11. 11 LOG AND ASSOCIATED META DATA
  12. 12 DATA REPRESENTATION IS KEY
  13. 13 FEATURES ENGINEERING
  14. 14 NOTHING'S MATHE-MAGIC
  15. 15 RESULTS VISUALIZATION AKA DATAVIZ
  16. 16 UNSUPERVISED MACHINE LEARNING EVALUATION
  17. 17 MODEL EVALUATION: EMPIRICAL EVALUATION
  18. 18 PRINCIPAL COMPONENT ANALYSIS
  19. 19 CUSTOM ML DEVELOPMENT
  20. 20 TAKEAWAYS
  21. 21 PERSPECTIVES

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