Module 4: Create queries for Azure Sentinel using Kusto Query Language (KQL)

Write Kusto Query Language (KQL) statements to query log data to perform detections, analysis, and reporting in Azure Sentinel. This module will focus on the most used operators. The example KQL statements will showcase security-related table queries. KQL is the query language used to perform analysis on data to create analytics, workbooks, and perform hunting in Azure Sentinel. Learn how basic KQL statement structure provides the foundation to build more complex statements. Learn how to summarize and visualize data with a KQL statement provides the foundation to build detections in Azure Sentinel. Learn how to use the Kusto Query Language (KQL) to manipulate string data ingested from log sources.

 Lessons

1. Construct KQL statements for Azure Sentinel
2. Analyze query results using KQL
3. Build multi-table statements using KQL
4. Work with data in Azure Sentinel using Kusto Query Language

Lab: Create queries for Azure Sentinel using Kusto Query Language (KQL)

1. Construct Basic KQL Statements
2. Analyze query results using KQL
3. Build multi-table statements using KQL
4. Work with string data using KQL statements

 Module 5: Configure your Azure Sentinel environment

Get started with Azure Sentinel by properly configuring the Azure Sentinel workspace. Traditional security information and event management (SIEM) systems typically take a long time to set up and configure. They’re also not necessarily designed with cloud workloads in mind. Azure Sentinel enables you to start getting valuable security insights from your cloud and on-premises data quickly. This module helps you get started. Learn about the architecture of Azure Sentinel workspaces to ensure you configure your system to meet your organization’s security operations requirements. As a Security Operations Analyst, you must understand the tables, fields, and data ingested in your workspace. Learn how to query the most used data tables in Azure Sentinel.

 Lessons

1. Introduction to Azure Sentinel
2. Create and manage Azure Sentinel workspaces
3. Query logs in Azure Sentinel
4. Use watchlists in Azure Sentinel
5. Utilize threat intelligence in Azure Sentinel

Lab: Configure your Azure Sentinel environment

1. Create an Azure Sentinel Workspace
2. Create a Watchlist
3. Create a Threat Indicator

 Module 6: Connect logs to Azure Sentinel

Connect data at cloud scale across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds to Azure Sentinel. The primary approach to connect log data is using the Azure Sentinel-provided data connectors. This module provides an overview of the available data connectors. You will get to learn about the configuration options and data provided by Azure Sentinel connectors for Microsoft 365 Defender.

Lessons

1. Connect data to Azure Sentinel using data connectors
2. Connect Microsoft services to Azure Sentinel
3. Connect Microsoft 365 Defender to Azure Sentinel
4. Connect Windows hosts to Azure Sentinel
5. Connect Common Event Format logs to Azure Sentinel
6. Connect Syslog data sources to Azure Sentinel
7. Connect threat indicators to Azure Sentinel

Lab: Connect logs to Azure Sentinel

1. Connect Microsoft services to Azure Sentinel
2. Connect Windows hosts to Azure Sentinel
3. Connect Linux hosts to Azure Sentinel
4. Connect Threat intelligence to Azure Sentinel

Module 7: Create detections and perform investigations using Azure Sentinel

Detect previously uncovered threats and rapidly remediate threats with built-in orchestration and automation in Azure Sentinel. You will learn how to create Azure Sentinel playbooks to respond to security threats. You’ll investigate Azure Sentinel incident management, learn about Azure Sentinel events and entities, and discover ways to resolve incidents. You will also learn how to query, visualize, and monitor data in Azure Sentinel.

Lessons

1. Threat detection with Azure Sentinel analytics
2. Threat response with Azure Sentinel playbooks
3. Security incident management in Azure Sentinel
4. Use entity behavior analytics in Azure Sentinel
5. Query, visualize and monitor data in Azure Sentinel

Lab: Create detections and perform investigations using Azure Sentinel

1. Create Analytical Rules
2. Model Attacks to Define Rule Logic
3. Mitigate Attacks using Azure Sentinel
4. Create Workbooks in Azure Sentinel

Module 8: Perform threat hunting in Azure Sentinel

In this module, you’ll learn to proactively identify threat behaviors by using Azure Sentinel queries. You’ll also learn to use bookmarks and Livestream to hunt threats. You will also learn how to use notebooks in Azure Sentinel for advanced hunting.

 Lessons

1. Threat hunting with Azure Sentinel
2. Hunt for threats using notebooks in Azure Sentinel

Lab: Threat hunting in Azure Sentinel

1. Threat Hunting in Azure Sentinel
2. Threat Hunting using Notebooks