
Deploy Microsoft Sentinel in Azure with an ARM template, configuring a cloud-native, code-driven monitoring solution featuring hundreds of detection rules, data retention, and analytics in minutes.
Explore how to fine-tune Microsoft Sentinel after ARM deployment by adjusting portal settings, enabling data sources, configuring playbook permissions, and wiring diagnostic settings to a log analytics workspace.
Create an Azure DevOps organization, set up a Sentinel project and repository, initialize with a Readme file to establish main branch, and enable third party application access via organization settings.
Connect your Azure DevOps repository to Microsoft Sentinel via the deployment wizard, authorize your account, select organization and project, then deploy analytics, automation rules, inquiries, parsers, playbooks, and workbooks.
Connect a GitHub repository to Microsoft Sentinel by adding a GitHub connection, installing the Azure Sentinel for GitHub app, and selecting repositories for deployment.
Track ARM template changes in a repository using a tracking table to deploy only updated or newly created analytics rules, improving pipeline efficiency.
Learn to deploy an unsupported artifact, a watch list, to Azure Sentinel using a modified PowerShell script and pipeline updates.
Explore arm templates formatting and parameters for azure sentinel, including schema, content version, workspace parameter in pipelines, and using concat to generate unique resource names for watchlists and automation rules.
Generate an ARM template for analytics rule in Azure Sentinel, export from the portal, and deploy via repository using the workspace parameter with version control and descriptive naming.
Learn to generate a reusable arm template for automation rules (and analytics rules) using api calls, extract the properties section, and adapt it across environments.
Demonstrate generating an arm template for automation rules with a PowerShell script, authenticate, set your workspace and resource group, and download ready templates for Azure Sentinel.
Access the official Microsoft Sentinel GitHub page for up-to-date arm templates and configurations to deploy Sentinel at scale, with a catalog of playbooks and analytics rules.
Explore exceptions to Microsoft Sentinel pricing, including free ten gigabytes per day for 31 days, data grants for Microsoft 365 licenses, and free ingestion for select Microsoft logs.
Explore using the Microsoft Sentinel pricing calculator to estimate costs by region and log inputs, including retention, data ingestion, restore, and search options, with cautions about misreadings and price changes.
Set up data connectors in the Microsoft Sentinel Content Hub. Create a VM and configure a data collection rule for Windows security events via the AMA agent, with cost considerations.
Elevate your cloud security expertise to new heights as you seamlessly integrate Microsoft Sentinel into your Azure based workflows with GitHub. Harness essential tools like ARM, Bicep, Terraform, PowerShell, APIs and automate deployment process for security operations in Azure.
Through hands-on experiences, you'll become adept at deploying critical components such as analytics rules, workbooks, playbooks and many more Microsoft Sentinel artifacts. Everything managed from a centralized repository through the efficiency of CI/CD pipeline, optimizing your cloud security strategy while streamlining operations.
Once you grasp the foundations of automation, you'll dive deeper into the heart of Azure infrastructure management with ARM templates. You will master the art of infrastructure as code for Microsoft Sentinel, ensuring that your cloud environment is not only secure but also highly efficient.
You'll also gain valuable insights into cost optimization strategies, ensuring that you can effectively secure your cloud environment while maximizing cost savings in Azure Cloud.
In essence, this course serves as your gateway to becoming a proficient cloud security architect expert within the Azure cloud ecosystem. It seamlessly combines essential integration skills, practical deployment experiences, automation mastery, infrastructure management, log analysis, and cost optimization into a comprehensive learning journey.
You will work with tools concepts and technologies such as CI/CD Pipeline, Infrastructure as Code, Azure DevOps, GitHub, ARM, Biceps, Terraform, Powershell, KQL, Basics Logs Search, KQL Transformation, Data Ingestion, Cross resource query, Azure Data Explorer and many more.
Don't let this opportunity pass you by. Elevate your expertise in Azure cloud security today and position yourself as a valuable asset in the ever-evolving landscape of cloud computing.