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Building Effective Attack Detection in the Cloud

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Cloud-native detection focuses on actual attack paths not buzzwords: it uses control plane audit logs (CloudTrail/Azure Audit/Kubernetes), service-specific logs, and CI/CD/source-repo telemetry to find identity, pipeline and pivot attacks. The team builds Leonidas, a serverless framework that executes scripted TTPs (45 test cases for AWS so far), emits its own logs, and diffs those events against the SIEM so teams can validate detections and run detection as code regression tests automatically.

AI-written summary · about

  1. 0:00Intro
  2. 1:25Similarities
  3. 2:59Telemetry
  4. 3:45Cloud telemetry
  5. 4:57Context
  6. 5:59Interconnectivity
  7. 8:22Data Sources
  8. 11:17What is an attacker likely to do well
  9. 12:15Source code management continuous delivery
  10. 13:38Threat model
  11. 15:36Detection as code
  12. 16:57Leonidas
  13. 17:49Working with definitions
  14. 18:30Detection cases
  15. 18:52Creating a single source of truth
  16. 19:19Demo
  17. 28:25Conclusions
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