Detection Engineering
What is Detection Engineering?
The practice of designing, building, testing, and maintaining threat detection rules and analytics to identify malicious activity in security monitoring systems.
Frameworks that govern detection engineering
What the standards actually require on detection engineering
Requirements naming detection engineering across 2 standards, quoted from the control text.
Translate lessons into concrete control improvements, new detection rules, updated playbooks, and resource changes, with tracking through to closure and validation in the next exercise.
PICERL-L-02 · Lessons Learned: Control Improvements and Detection Engineering →Implement detection engineering and threat hunting using ATT&CK Data Sources and detection content. Each technique includes Detection guidance + Data Sources required + analytic queries.
MITRE-ATTACK-Detection-Data-Sources-Analytics-Sigma-Splunk-KQL-Yara-Snort-SIEM-Hunt-Engineering · MITRE ATT&CK Detection + Data Sources + Analytics + Sigma + Splunk + KQL + Yara + Snort + SIEM + Hunt →Questions people ask about detection engineering
What is Detection Engineering?
Why is Detection Engineering important for compliance?
Which compliance frameworks address Detection Engineering?
Where can I learn more about Detection Engineering?
See how Detection Engineering applies across compliance frameworks
Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.