AI for Cybersecurity - Overview of the Field and Promising Future Directions

AI for Cybersecurity - Overview of the Field and Promising Future Directions

RSA Conference via YouTube Direct link

Introduction

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1 of 31

Introduction

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Classroom Contents

AI for Cybersecurity - Overview of the Field and Promising Future Directions

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  1. 1 Introduction
  2. 2 Outline
  3. 3 Agenda
  4. 4 AI for Cybersecurity Overview
  5. 5 AI for Cybersecurity Life Cycle
  6. 6 Data Sources
  7. 7 External Data Sources
  8. 8 Cyber Security Initiatives
  9. 9 Key Limitations
  10. 10 Promising Directions
  11. 11 Research Illustration
  12. 12 Existing AI for Cybersecurity Initiatives
  13. 13 Exploit Data
  14. 14 Vulnerability Assessment Data
  15. 15 Vulnerability Exploit Matching
  16. 16 Device Vulnerability Severity Metric
  17. 17 Vulnerability Assessment
  18. 18 Workforce Development
  19. 19 Funding
  20. 20 Conclusion
  21. 21 Questions
  22. 22 Minimum Data Set Size
  23. 23 Decision Automation
  24. 24 Weak Signals
  25. 25 Honey Pots
  26. 26 AI in IoT
  27. 27 What comes first
  28. 28 What is the best solution
  29. 29 AI ML
  30. 30 MITRE Framework
  31. 31 Business Logic Vulnerabilities

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