Automate Incident Response with Microsoft Sentinel Playbooks
Build a Logic App playbook that automatically responds to Microsoft Sentinel incidents triggered by a scheduled analytics rule.
Lab overview
Microsoft Sentinel is a cloud-native SIEM and SOAR platform built on Azure. It collects security telemetry at scale from Microsoft and third-party sources, applies analytics rules to detect threats, and creates incidents that analysts triage and investigate. The volume of alerts a modern SOC receives makes manual response impractical, so Sentinel leans heavily on automation.
Sentinel playbooks are Azure Logic Apps with a dedicated Sentinel connector. They run automatically when incidents are created, enriching alerts, escalating severity, assigning owners, commenting on incidents, and triggering downstream notifications. An automation rule binds the playbook to an analytics rule so the response fires the moment a detection lands, closing the gap between detection and action.
In this lab, you will configure a scheduled analytics rule that uses KQL to detect suspicious sign-in patterns in pre-loaded security log data. You will build a Logic App playbook with the Sentinel connector that comments on incidents, raises severity, and assigns an owner. Finally, you will wire the two together with an automation rule and verify the end-to-end response flow by running the rule and inspecting the automated incident.
Objectives
Upon completion of this intermediate level lab, you will be able to:
- Configure a scheduled analytics rule using KQL to detect suspicious sign-in patterns
- Create a Logic App playbook with the Sentinel connector for automated incident response
- Define playbook logic for incident comments, severity escalation, and owner assignment
- Create an automation rule to trigger the playbook on incident creation
- Validate end-to-end automation by verifying playbook execution on a live incident
Who is this lab for?
This lab is designed for:
- Security engineers and SOC analysts building detection and response workflows
- Cloud administrators adopting Microsoft Sentinel for SIEM and SOAR
- DevOps engineers integrating security automation into cloud operations
- Students preparing for AZ-500, SC-200, or BCIT security coursework
Verified against your live environment
An automated validation engine inspects your actual resources and configurations as you work. Completion means the task was performed, not multiple choice, real-world proficiency.
More labs like this
Deploying Your First Microsoft Sentinel Workspace on Azure
Learn to set up Microsoft Sentinel workspace, connect it to a Log Analytics workspace, and prepare for advanced security monitoring and threat detection.
Managing Azure Blob Storage Operations with Azure CLI
Learn how to perform essential Azure Blob Storage operations using Azure CLI commands. Practice uploading, downloading, listing, and deleting blobs with batch operations.
Transform Logs at Ingestion with DCRs Custom Tables and ASIM in Microsoft Sentinel
Build a DCR with a custom table, write a transformKql to parse and drop noisy fields, and map output to an ASIM parser.
Related reading
Environment
Every lab includes
- Real environment, pre-credentialed
- Automated checks on every step
- Isolated sandbox, auto cleanup
- AI-recommended next steps
Lab curriculum
- 01
Logging into Azure Account using Azure Portal
- 02
Creating a Scheduled Analytics Rule for Threat Detection
1 automated check
- 03
Building a Logic App Playbook for Automated Incident Response
1 automated check
- 04
Connecting the Playbook with a Sentinel Automation Rule
1 automated check
- 05
Validating the Automated Incident Response Workflow
1 automated check
Skills validated
Not the lab you were looking for?
Browse 200+ hands-on labs across AWS, Azure, Kubernetes, Docker, and cloud security.