Microsoft Security Operations Analyst

Module 1: Mitigate threats using Microsoft Defender

Analyze threat data across domains and rapidly remediate threats with built-in orchestration and automation in Microsoft 365 Defender. Learn about cybersecurity threats and how the new threat protection tools from Microsoft protect your organization’s users, devices, and data. Use the advanced detection and remediation of identity-based threats to protect your Azure Active Directory identities and applications from compromise.

Lessons

Introduction to threat protection with Microsoft 365

Mitigate incidents using Microsoft 365 Defender

Remediate risks with Microsoft Defender for Office 365

Microsoft Defender for Identity

Azure AD Identity Protection

Microsoft Cloud App Security

Respond to data loss prevention alerts

Manage insider risk in Microsoft 365

Lab : Mitigate threats using Microsoft Defender

Explore Microsoft 365 Defender

After completing this module, students will be able to:

Explain how the threat landscape is evolving

Manage incidents in Microsoft 365 Defender

Conduct advanced hunting in Microsoft 365 Defender

Investigate alerts in Microsoft Defender

Describe the investigation and remediation features of Azure Active Directory Identity Protection

Define the Cloud App Security framework

Explain how Cloud Discovery helps you see what’s going on in your organization

Module 2: Mitigate threats using Microsoft 365 Defender for Endpoint

Implement the Microsoft Defender for Endpoint platform to detect, investigate, and respond to advanced threats. Learn how Microsoft Defender for Endpoint can help your organization stay secure. Learn how to deploy the Microsoft Defender for Endpoint environment, including onboarding devices and configuring security. Learn how to investigate incidents and alerts using Microsoft Defender for Endpoints. Perform advanced hunting and consult with threat experts. You will also learn how to configure automation in Microsoft Defender for Endpoint by managing environmental settings.. Lastly, you will learn about your environment’s weaknesses by using Threat and Vulnerability Management in Microsoft Defender for Endpoint.

Lessons

Protect against threats with Microsoft Defender for Endpoint

Deploy the Microsoft Defender for Endpoint environment

Implement Windows 10 security enhancements

Perform device investigations

Perform actions on a device

Perform evidence and entities investigations

Configure for alerts and detections

Manage insider risk in Microsoft 365

Utilize Threat and Vulnerability Management

Lab : Mitigate threats using Microsoft 365 Defender for Endpoint

Deploy Microsoft Defender for Endpoint

Mitigate Attacks using Defender for Endpoint

After completing this module, students will be able to:

Define the capabilities of Microsoft Defender for Endpoint

Configure Microsoft Defender for Endpoint environment settings

Configure Attack Surface Reduction rules on Windows 10 devices

Describe device forensics information collected by Microsoft Defender for Endpoint

Conduct forensics data collection using Microsoft Defender for Endpoint

Investigate user accounts in Microsoft Defender for Endpoint

Manage automation settings in Microsoft Defender for Endpoint

Manage indicators in Microsoft Defender for Endpoint

Describe Threat and Vulnerability Management in Microsoft Defender for Endpoint

Module 3: Mitigate threats using Azure Defender

Use Azure Defender integrated with Azure Security Center, for Azure, hybrid cloud, and on-premises workload protection and security. Learn the purpose of Azure Defender, Azure Defender’s relationship to Azure Security Center, and how to enable Azure Defender. You will also learn about the protections and detections provided by Azure Defender for each cloud workload. Learn how you can add Azure Defender capabilities to your hybrid environment.

Lessons

Plan for cloud workload protections using Azure Defender

Explain cloud workload protections in Azure Defender

Connect Azure assets to Azure Defender

Connect non-Azure resources to Azure Defender

Remediate security alerts using Azure Defender

Lab : Mitigate threats using Azure Defender

Deploy Azure Defender

Mitigate Attacks with Azure Defender

After completing this module, students will be able to:

Describe Azure Defender features

Explain Azure Security Center features

Explain which workloads are protected by Azure Defender

Explain how Azure Defender protections function

Configure auto-provisioning in Azure Defender

Describe manual provisioning in Azure Defender

Connect non-Azure machines to Azure Defender

Describe alerts in Azure Defender

Remediate alerts in Azure Defender

Automate responses in Azure Defender

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

Construct KQL statements for Azure Sentinel

Analyze query results using KQL

Build multi-table statements using KQL

Work with data in Azure Sentinel using Kusto Query Language

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

Construct Basic KQL Statements

Analyze query results using KQL

Build multi-table statements in KQL

Work with string data in KQL

After completing this module, students will be able to:

Construct KQL statements

Search log files for security events using KQL

Filter searches based on event time, severity, domain, and other relevant data using KQL

Summarize data using KQL statements

Render visualizations using KQL statements

Extract data from unstructured string fields using KQL

Extract data from structured string data using KQL

Create Functions using KQL

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

Introduction to Azure Sentinel

Create and manage Azure Sentinel workspaces

Query logs in Azure Sentinel

Use watchlists in Azure Sentinel

Utilize threat intelligence in Azure Sentinel

Lab : Configure your Azure Sentinel environment

Create an Azure Sentinel Workspace

Create a Watchlist

Create a Threat Indicator

After completing this module, students will be able to:

Identify the various components and functionality of Azure Sentinel.

Identify use cases where Azure Sentinel would be a good solution.

Describe Azure Sentinel workspace architecture

Install Azure Sentinel workspace

Manage an Azure Sentinel workspace

Create a watchlist in Azure Sentinel

Use KQL to access the watchlist in Azure Sentinel

Manage threat indicators in Azure Sentinel

Use KQL to access threat indicators in Azure Sentinel

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

Connect data to Azure Sentinel using data connectors

Connect Microsoft services to Azure Sentinel

Connect Microsoft 365 Defender to Azure Sentinel

Connect Windows hosts to Azure Sentinel

Connect Common Event Format logs to Azure Sentinel

Connect syslog data sources to Azure Sentinel

Connect threat indicators to Azure Sentinel

Lab : Connect logs to Azure Sentinel

Connect data to Azure Sentinel using data connectors

Connect Windows devices to Azure Sentinel using data connectors

Connect Linux hosts to Azure Sentinel using data connectors

Connect Threat intelligence to Azure Sentinel using data connectors

After completing this module, students will be able to:

Explain the use of data connectors in Azure Sentinel

Explain the Common Event Format and Syslog connector differences in Azure Sentinel

Connect Microsoft service connectors

Explain how connectors auto-create incidents in Azure Sentinel

Activate the Microsoft 365 Defender connector in Azure Sentinel

Connect Azure Windows Virtual Machines to Azure Sentinel

Connect non-Azure Windows hosts to Azure Sentinel

Configure Log Analytics agent to collect Sysmon events

Explain the Common Event Format connector deployment options in Azure Sentinel

Configure the TAXII connector in Azure Sentinel

View threat indicators in 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

Threat detection with Azure Sentinel analytics

Threat response with Azure Sentinel playbooks

Security incident management in Azure Sentinel

Use entity behavior analytics in Azure Sentinel

Query, visualize, and monitor data in Azure Sentinel

Lab : Create detections and perform investigations using Azure Sentinel

Activate a Microsoft Security rule

Create a Playbook

Create a Scheduled Query

Understand Detection Modeling

Conduct attacks

Create detections

Investigate incidents

Create workbooks

After completing this module, students will be able to:

Explain the importance of Azure Sentinel Analytics.

Create rules from templates.

Manage rules with modifications.

Explain Azure Sentinel SOAR capabilities.

Create a playbook to automate an incident response.

Investigate and manage incident resolution.

Explain User and Entity Behavior Analytics in Azure Sentinel

Explore entities in Azure Sentinel

Visualize security data using Azure Sentinel Workbooks.

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

Threat hunting with Azure Sentinel

Hunt for threats using notebooks in Azure Sentinel

Lab : Threat hunting in Azure Sentinel

Perform Threat Hunting in Azure Sentinel

Threat Hunting using Notebooks with Azure Sentinel

After completing this module, students will be able to:

Describe threat hunting concepts for use with Azure Sentinel

Define a threat hunting hypothesis for use in Azure Sentinel

Use queries to hunt for threats.

Observe threats over time with livestream.

Explore API libraries for advanced threat hunting in Azure Sentinel

Create and use notebooks in Azure Sentinel