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