How does a cloud-native security information and event management tool like Microsoft Sentinel ingest logs to detect suspicious user behavior?
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The searches the AI actually ran for this prompt.
SEED QUERY
How does a cloud-native security information and event management tool like Microsoft Sentinel ingest logs to detect suspicious user behavior?
1 real search · 1 real-search pass
Microsoft Sentinel data ingestion architecture data connectors Log Analytics workspace ASIM analytics rules UEBA documentationGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
Microsoft Sentinel data ingestion architecture data connectors Log Analytics workspace ASIM analytics rules UEBA documentation Google ↗
- Microsoft Sentinel User and Entity Behavior Analytics (UEBA) reference · learn.microsoft.com
- Normalization and the Advanced Security Information Model (ASIM) · learn.microsoft.com
- Microsoft Sentinel SIEM solution quality guidelines · learn.microsoft.com
- Custom data ingestion and transformation in Microsoft Sentinel · learn.microsoft.com
- Microsoft Sentinel skill-up training · learn.microsoft.com
- Sentinel documentation · learn.microsoft.com
- UEBA reference · learn.microsoft.com