Individual skill
building-cloud-siem-with-sentinel
This skill covers deploying Microsoft Sentinel as a cloud-native SIEM and SOAR platform for centralized security operations. It details configuring data connectors for multi-cloud log ingestion, writing KQL detection queries, building automated response playbooks with Logic Apps, and leveraging the Sentinel data lake for petabyte-scale threat hunting across AWS, Azure, and GCP security telemetry.
internal/tools/skills/data/soc-operations/building-cloud-siem-with-sentinel/SKILL.md
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- Last checked
- Nov 9, 2026
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- microsoft-sentinel Declared skill tag
- cloud-siem Declared skill tag
- kql-queries Declared skill tag
- soar-automation Declared skill tag
- threat-detection Declared skill tag
- security Derived category
- operations Derived category
- writing Derived category
- data Derived category
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# Building Cloud SIEM with Sentinel
## When to Use
- When establishing a centralized security operations center for multi-cloud environments
- When migrating from legacy SIEM platforms (Splunk, QRadar) to cloud-native architecture
- When building automated incident response workflows for cloud-specific threats
- When performing large-scale threat hunting across petabytes of security telemetry
- When integrating threat intelligence feeds with cloud security log analysis
**Do not use** for AWS-only environments where Security Hub and GuardDuty suffice, for endpoint detection requiring EDR capabilities (use Defender for Endpoint), or for compliance posture monitoring (see building-cloud-security-posture-management).
## Common Misconfigurations & Verification
