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building-cloud-siem-with-sentinel

Deploy Microsoft Sentinel as a multi-cloud SIEM with KQL detections and Logic Apps playbooks.

Updated Aug 27, 2026

Search Tags:#multi-cloud #sentinel #threat-hunting #kql #soar #cloud-siem

One-click install

npx skills add https://github.com/Axxxxxxaaann/KAIRI-Skills --skill building-cloud-siem-with-sentinel

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: building-cloud-siem-with-sentinel
Source: https://github.com/Axxxxxxaaann/KAIRI-Skills/tree/main/skills/building-cloud-siem-with-sentinel
Command: npx skills add https://github.com/Axxxxxxaaann/KAIRI-Skills --skill building-cloud-siem-with-sentinel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires azure-identity, azure-monitor-query, azure-mgmt-securityinsight, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Centralized cloud-native SIEM/SOAR for multi-cloud environments enables security teams to monitor, detect, and respond to threats from a single control plane. This skill codifies deploying Sentinel, configuring data connectors, authoring KQL queries, and automating responses at scale across AWS, Azure, and GCP.

Core Features & Use Cases

Deploy Microsoft Sentinel as a cloud-native SIEM/SOAR across AWS, Azure, and GCP.
Configure multi-cloud data connectors for AWS CloudTrail, Azure AD, and GCP logs.
Write KQL detection queries and map to MITRE ATT&CK techniques for proactive defense.
Build automated SOAR playbooks using Logic Apps to accelerate incident response.
Enable Sentinel Data Lake for long-term threat hunting across petabytes of telemetry.
Threat intelligence integration for enrichment and correlation.

Quick Start

Deploy Microsoft Sentinel, connect AWS, Azure, and GCP data sources, and implement an initial KQL rule and a sample SOAR playbook.

Frequently Asked Questions about building-cloud-siem-with-sentinel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I deploy Microsoft Sentinel as a multi-cloud SIEM for AWS, Azure, and GCP?▼

Deploy Microsoft Sentinel as a cloud-native SIEM by configuring data connectors to ingest AWS CloudTrail, Azure AD, and GCP logs into a centralized workspace for security operations.

What is KQL threat hunting in Microsoft Sentinel?▼

KQL threat hunting in Microsoft Sentinel involves writing Kusto Query Language detection queries mapped to MITRE ATT&CK techniques to proactively identify security threats across ingested telemetry.

How do I build automated SOAR playbooks with Logic Apps in Sentinel?▼

Build automated SOAR playbooks using Logic Apps to accelerate incident response by configuring correct workspace access and automating response actions triggered by Sentinel alerts.

Can I use Sentinel Data Lake for long-term threat hunting across petabytes of logs?▼

Yes, you can enable the Sentinel Data Lake for long-term threat hunting to query and retain petabytes of multi-cloud telemetry without needing to manage underlying infrastructure.

Do I need to configure data connectors before writing KQL detection queries?▼

Yes, configuring multi-cloud data connectors from AWS, Azure, and GCP is required before writing KQL detection queries to ensure the logs are ingested into the workspace for analysis.

Does Microsoft Sentinel integrate threat intelligence for multi-cloud environments?▼

Microsoft Sentinel integrates threat intelligence for enrichment and correlation, allowing security teams to cross-reference ingested multi-cloud logs with threat data for improved detection.

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