Trusted by more than
2,500 customers globally
Security that works everywhere you do
From setup to investigation, Sumo Logic removes friction – seamlessly unifying logs, alerts, and automation across all your environments.
| Expand all | Sumo Logic Cloud SIEM | Microsoft Sentinel |
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Log ingestion
Sumo Logic is platform-agnostic, collecting structured and unstructured logs from on-prem, cloud, and multi-cloud without extra hardware. Native source support streamlines onboarding, while built-in normalization ensures consistent visibility for faster correlation and analysis. Microsoft Sentinel is tightly integrated with Azure/Windows but struggles in multi-cloud/hybrid setups. Syslog/CEF ingestion requires a complex setup, and cross-table normalization slows investigations and limits efficiency. | Sumo Logic Cloud SIEM | Microsoft Sentinel |
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Fixed data structure
Sumo Logic’s schema-less ingest handles any data type, auto-organizing unstructured data into a usable schema. This flexibility speeds onboarding, scales with diverse datasets, and accelerates analysis without predefined formats. Microsoft Sentinel’s schema-based model requires mapping data into predefined tables, complicating unstructured data ingest and making queries slower and more error-prone. | Sumo Logic Cloud SIEM | Microsoft Sentinel |
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Alert triaging and insight generation
Sumo Logic’s Insight Engine uses adaptive clustering to group related alerts, cut noise, and align investigations with MITRE ATT&CK—freeing analysts for higher-value work. Microsoft Sentinel uses ML and automation rules but lacks full triage automation, forcing analysts to manually correlate alerts and slowing response. | Sumo Logic Cloud SIEM | Microsoft Sentinel |
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Rule tuning
Sumo Logic offers precise tuning via rule expressions, ML-based false positive reduction, and bulk edits. Changes persist through updates, and rules can be excluded from alerts while still feeding dashboards. Microsoft Sentinel has limited tuning recommendations, no streamlined bulk-editing, and relies on more manual workflows; a detection tuning feature is still in preview. | Sumo Logic Cloud SIEM | Microsoft Sentinel |
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ML-based analytics / Generative AI
Sumo Logic applies ML across discovery, detection, investigation, response, and protection to cut dwell time, reduce false positives, and speed resolution. Features include real-time and search-based correlation, Outlier Detection, LogReduce, LogCompare, and Dojo AI for natural language queries, TTP identification, and AI dashboards. Microsoft Sentinel’s ML correlation is search-based only, limiting immediate detection. It integrates with Security Copilot and offers natural language-to-KQL (preview) but lacks real-time ML-driven detection. | Sumo Logic Cloud SIEM | Microsoft Sentinel |
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Additional resources
Gartner Critical Capabilities report
376% ROI is just the beginning with Sumo Logic: IDC’s ROI Report
Sumo Logic Cloud SIEM overview
Sumo Logic ahead of the pack in a consolidating market
How AI will impact cybersecurity: the beginning of fifth-gen SIEM
How to navigate the rapid changes and consolidation in the SIEM and security analytics market
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