Scaling Security Threat Detection with Apache Spark and Databricks

Scaling Security Threat Detection with Apache Spark and Databricks

Databricks via YouTube Direct link

Solution: Document Recommendations

22 of 26

22 of 26

Solution: Document Recommendations

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Scaling Security Threat Detection with Apache Spark and Databricks

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  1. 1 Intro
  2. 2 Which Technologies?
  3. 3 Detection === Code That Finds Bad Stuff
  4. 4 Development Overhead Average time to write, test, and deploy a
  5. 5 Mo' Detections, Mo' Problems
  6. 6 No Support for Common Patterns
  7. 7 Components
  8. 8 Detection and Alert Abstraction
  9. 9 Config Inheritance
  10. 10 Modular Pre/Post Processing
  11. 11 Manual Tuning Lifecycle
  12. 12 Self-Tuning Alerts
  13. 13 Repetitive Investigations... What Happens?
  14. 14 Automated Investigation Templates
  15. 15 Automated Containment
  16. 16 Detection Testing
  17. 17 Detection Functional Tests
  18. 18 Databricks Stacks!
  19. 19 Deploy/Reconfigure Jobs with Single PR
  20. 20 Problem #1 - Cyclical Investigations
  21. 21 Problem #3 - Finding Patterns
  22. 22 Solution: Document Recommendations
  23. 23 Automated Suggestions
  24. 24 Anatomy of an Alert
  25. 25 Entity Tokenization and Enrichment
  26. 26 Suggestion Algorithm WHY CANTI

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