Terminology Index
Glossary
2953 terms
SIEM Data Models
The schemas and structures SIEMs use to normalize events from many sources into common fields, so queries and detections work across them rather than re-implementing per source.
SIEM data models, common information models, CIM, ECS, normalize fields like user, host, action, source IP across diverse log sources. Detection rules and queries written against the model work regardless of which source produced the event, dramatically reducing duplication. Understanding the data model is foundational to writing efficient SIEM queries: queries that respect the model are portable and fast, while those that don't break easily. As a SIEM-query fundamentals topic, data models underpin scalable detection engineering.
Introduced in: SIEM Query Fundamentals
Examples
- Normalizing user, host, and action fields across diverse log sources.
- Writing a detection against the data model that works across sources.
- Recognizing common information model fields when querying.
