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