We currently use legacy on-prem SIEM and want to understand the enterprise pricing model for Microsoft Sentinel, including data retention and analytics rule costs.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We currently use legacy on-prem SIEM and want to understand the enterprise pricing model for Microsoft Sentinel, including data retention and analytics rule costs.
2 real searches · 1 real-search pass
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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Microsoft Sentinel pricing 2026 analytics logs data retention commitment tiers analytics rules costs official Microsoft Google ↗
Azure Monitor Log Analytics pricing retention analytics logs basic auxiliary logs 2026 official Microsoft Sentinel Google ↗
- Plan costs and understand pricing and billing - Microsoft Sentinel · learn.microsoft.com
- Microsoft Sentinel Pricing · microsoft.com
- Pricing - Azure Monitor · azure.microsoft.com
- Manage data tiers and retention in Microsoft Sentinel · learn.microsoft.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Microsoft Sentinel pricing 2026 analytics logs data retention commitment tiers analytics rules costs official Microsoft OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Azure Monitor Log Analytics pricing retention analytics logs basic auxiliary logs 2026 official Microsoft Sentinel OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |