Mirror Chess - Why Mature, Predictable Security Is a Disaster

Mirror Chess - Why Mature, Predictable Security Is a Disaster

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Weaknesses Inherent to Machine Learning

11 of 22

11 of 22

Weaknesses Inherent to Machine Learning

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Mirror Chess - Why Mature, Predictable Security Is a Disaster

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  1. 1 Intro
  2. 2 The Mirror Chess Problem
  3. 3 The Three Mirror Chess Problems
  4. 4 Ransomware for Misdirection (and Profit)
  5. 5 Traditional Investment Pyramid
  6. 6 Leaky Abstraction
  7. 7 Adversaries can determine how security teams spend their time
  8. 8 Adversaries get defenders to do their dirty work for them
  9. 9 Migrations
  10. 10 Asymmetry in Rate of Innovation
  11. 11 Weaknesses Inherent to Machine Learning
  12. 12 The Basic Complications
  13. 13 Traditional countermeasures can be ignored
  14. 14 Noise to signal ratio
  15. 15 Behavior Changes, Invalidating Patterns
  16. 16 Policy-driven systems become counterproductive with scale
  17. 17 Machine Learning as Building Block for Next Gen Sec
  18. 18 The Next Generation
  19. 19 What good looks like - E.g. the incident Response Challenge
  20. 20 Strategies for Risk Reduction
  21. 21 How to apply
  22. 22 Established Doctrine of Risks

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