Module 01 · 15 min

How AI is Transforming Detection Engineering

Discover how LLMs and AI tools can 10x your detection capabilities and what the future holds.

Detection course / Foundations / 1.4

Models and detection rules

A model can draft a Sigma rule, explain one, or list likely false positives. That draft is not a detection. Someone still has to check the log source, run it against known-good activity, and decide whether it belongs in production.

Treat generated logic the same way you treat a rule copied from a blog:

  • Confirm the fields exist in your logs
  • Name the ATT&CK or ATLAS technique it is supposed to catch
  • Write a test that should fire, and one that should not
  • Keep the rule in version control with the reason it exists

Speed is not the point. A rule you cannot explain is a rule you cannot tune.

Notes

  • A generated rule is a draft
  • Check the log source before you trust the syntax
  • Pair every rule with a test that should fire and one that should not