Hunt for Threats by Using Microsoft Sentinel
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Included in this chapter:
- Hunting vs detection: two paths over one set of logs
- MITRE ATT&CK coverage analysis
- Threat indicators: manage and pivot on IOCs
- Hunts, hunting queries, and bookmarks
- Reach old or cheap data: search jobs and archive restore
- Exam-pattern recognition
Which Microsoft Sentinel hunting tool to reach for
| Tool | What it is | When to use it | Key constraint |
|---|---|---|---|
| Hunting query | A saved KQL query you run on demand against workspace tables | Test a technique hypothesis proactively, with no incident required | Runs over live, interactive-retention data only |
| Hunt | A structured container grouping queries, findings, and collaborators around one hypothesis | Organize a multi-query investigation and track it to a conclusion | Organizational container; it does not itself query data |
| Bookmark | A preserved query row with notes and mapped entities | Capture and keep a single interesting finding mid-hunt | Stored in HuntingBookmark; promote to an incident to action it |
| Threat indicator | An IOC (IP, domain, URL, hash) in ThreatIntelligenceIndicator | Pivot logs against known-bad observables, or drive a matching rule | Has confidence and expiration; stale IOCs age out |
| Search job | An async KQL search over Basic/Auxiliary or long-term-retention data | Query high-volume or aged data the live engine will not scan | Asynchronous; writes results to a new _SRCH table |
Decision tree
Cheat sheet
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Also tested in
References
- Hunting capabilities in Microsoft Sentinel
- Advanced hunting overview in Microsoft Defender XDR
- View MITRE ATT&CK coverage in Microsoft Sentinel
- Threat intelligence
- Conduct end-to-end threat hunting with Hunts
- Hunt with bookmarks in Microsoft Sentinel
- Configure interactive and long-term data retention in Microsoft Sentinel
- Search for specific events across large datasets in Microsoft Sentinel
- Restore archived logs from search