~/talk

Security's Holy Grail: Predicting Attacks Before They Happen

Talkat RSAC 2022 · 2022-06-06..06-09· [security, machine-learning]
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Using data from a 200,000-employee dataset, the presenters examine which employees are most likely to make security mistakes by measuring ‘human risk’ based on past security decisions. The talk explains the measurement methods and highlights empirical trends in vulnerable populations, then shows how to apply those findings to reduce incidents using employee-focused risk assessment and mitigation.

AI-written summary · about

  1. 0:00Intro
  2. 3:43Investigating the human attack surface
  3. 10:43Benchmark: phishing emails RECEIVED
  4. 15:19Benchmark: Number of successful phish
  5. 16:03Benchmark: malware received
  6. 18:24Benchmark: Number of successful malware
  7. 20:05Benchmark: browsing policy violations
  8. 21:31Combinations of risky behaviors
  9. 27:49Training doesn't solve human risk
  10. 34:31Groups are harder to manage than individuals
  11. 38:03Benchmarking is better than a briefing
  12. 40:42Equip users to do the right thing
  13. 44:47Human risk is a role-playing game
  14. 46:04Summary Of Key Findings
  15. 47:50Applying These Findings
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