Course outline
Module 1: Mitigate threats using Microsoft 365 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
Protect your identities with Azure AD Identity Protection
Microsoft Defender for Cloud Apps
Respond to data loss prevention alerts using Microsoft 365
Manage insider risk in Microsoft 365
Lab : Mitigate threats using Microsoft 365 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 365 Defender
Describe the investigation and remediation features of Azure Active Directory Identity Protection
Explain how Cloud Discovery helps you see what’s going on in your organization
Module 2: Mitigate threats using Microsoft 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 Endpoint. 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 security enhancements
Perform device investigations
Perform actions on a device
Perform evidence and entities investigations
Configure and manage automation
Configure for alerts and detections
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 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 Microsoft Defender for Cloud
Use Microsoft Defender for Cloud, for Azure, hybrid cloud, and on-premises workload protection and security. Learn the purpose of Microsoft Defender for Cloud and how to enable it. You will also learn about the protections and detections provided by Microsoft Defender for Cloud for each cloud workload. Learn how you can add Microsoft Defender for Cloud capabilities to your hybrid environment.
Lessons
Plan for cloud workload protections using Microsoft Defender for Cloud
Workload protections in Microsoft Defender for Cloud
Connect Azure assets to Microsoft Defender for Cloud
Connect non-Azure resources to Microsoft Defender for Cloud
Remediate security alerts using Microsoft Defender for Cloud
Lab : Mitigate threats using Microsoft Defender for Cloud
Deploy Microsoft Defender for Cloud
Mitigate Attacks with Microsoft Defender for Cloud
After completing this module, students will be able to:
Describe Microsoft Defender for Cloud features
Explain which workloads are protected by Microsoft Defender for Cloud
Explain how Microsoft Defender for Cloud protections function
Configure auto-provisioning in Microsoft Defender for Cloud
Describe manual provisioning in Microsoft Defender for Cloud
Connect non-Azure machines to Microsoft Defender for Cloud
Describe alerts in Microsoft Defender for Cloud
Remediate alerts in Microsoft Defender for Cloud
Automate responses in Microsoft Defender for Cloud
Module 4: Create queries for Microsoft Sentinel using Kusto Query Language (KQL)
Write Kusto Query Language (KQL) statements to query log data to perform detections, analysis, and reporting in Microsoft 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 Microsoft 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 Microsoft Sentinel. Learn how to use the Kusto Query Language (KQL) to manipulate string data ingested from log sources.
Lessons
Construct KQL statements for Microsoft Sentinel
Analyze query results using KQL
Build multi-table statements using KQL
Work with string data using KQL statements
Lab : Create queries for Microsoft Sentinel using Kusto Query Language (KQL)
Create queries for Microsoft Sentinel using Kusto Query Language (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 Microsoft Sentinel environment
Get started with Microsoft Sentinel by properly configuring the Microsoft 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. Microsoft 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 Microsoft 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 Microsoft Sentinel.
Lessons
Introduction to Microsoft Sentinel
Create and manage Microsoft Sentinel workspaces
Query logs in Microsoft Sentinel
Use watchlists in Microsoft Sentinel
Utilize threat intelligence in Microsoft Sentinel
Lab : Configure your Microsoft Sentinel environment
Configure your Microsoft Sentinel environment
After completing this module, students will be able to:
Identify the various components and functionality of Microsoft Sentinel.
Identify use cases where Microsoft Sentinel would be a good solution.
Describe Microsoft Sentinel workspace architecture
Install Microsoft Sentinel workspace
Manage an Microsoft Sentinel workspace
Create a watchlist in Microsoft Sentinel
Use KQL to access the watchlist in Microsoft Sentinel
Manage threat indicators in Microsoft Sentinel
Use KQL to access threat indicators in Microsoft Sentinel
Module 6: Connect logs to Microsoft Sentinel
Connect data at cloud scale across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds to Microsoft Sentinel. The primary approach to connect log data is using the Microsoft 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 Microsoft Sentinel connectors for Microsoft 365 Defender.
Lessons
Connect data to Microsoft Sentinel using data connectors
Connect Microsoft services to Microsoft Sentinel
Connect Microsoft 365 Defender to Microsoft Sentinel
Connect Windows hosts to Microsoft Sentinel
Connect Common Event Format logs to Microsoft Sentinel
Connect syslog data sources to Microsoft Sentinel
Connect threat indicators to Microsoft Sentinel
Lab : Connect logs to Microsoft Sentinel
Connect data to Microsoft Sentinel using data connectors
Connect Windows devices to Microsoft Sentinel using data connectors
Connect Linux hosts to Microsoft Sentinel using data connectors
Connect Threat intelligence to Microsoft Sentinel using data connectors
After completing this module, students will be able to:
Explain the use of data connectors in Microsoft Sentinel
Explain the Common Event Format and Syslog connector differences in Microsoft Sentinel
Connect Microsoft service connectors
Explain how connectors auto-create incidents in Microsoft Sentinel
Activate the Microsoft 365 Defender connector in Microsoft Sentinel
Connect Azure Windows Virtual Machines to Microsoft Sentinel
Connect non-Azure Windows hosts to Microsoft Sentinel
Configure Log Analytics agent to collect Sysmon events
Explain the Common Event Format connector deployment options in Microsoft Sentinel
Configure the TAXII connector in Microsoft Sentinel
View threat indicators in Microsoft Sentinel
Module 7: Create detections and perform investigations using Microsoft Sentinel
Detect previously uncovered threats and rapidly remediate threats with built-in orchestration and automation in Microsoft Sentinel. You will learn how to create Microsoft Sentinel playbooks to respond to security threats. You’ll investigate Microsoft Sentinel incident management, learn about Microsoft Sentinel events and entities, and discover ways to resolve incidents. You will also learn how to query, visualize, and monitor data in Microsoft Sentinel.
Lessons
Threat detection with Microsoft Sentinel analytics
Security incident management in Microsoft Sentinel
Threat response with Microsoft Sentinel playbooks
User and entity behavior analytics in Microsoft Sentinel
Query, visualize, and monitor data in Microsoft Sentinel
Lab : Create detections and perform investigations using Microsoft 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 Microsoft Sentinel Analytics.
Create rules from templates.
Manage rules with modifications.
Explain Microsoft Sentinel SOAR capabilities.
Create a playbook to automate an incident response.
Investigate and manage incident resolution.
Explain User and Entity Behavior Analytics in Microsoft Sentinel
Explore entities in Microsoft Sentinel
Visualize security data using Microsoft Sentinel workbooks.
Module 8: Perform threat hunting in Microsoft Sentinel
In this module, you’ll learn to proactively identify threat behaviors by using Microsoft Sentinel queries. You’ll also learn to use bookmarks and livestream to hunt threats. You will also learn how to use notebooks in Microsoft Sentinel for advanced hunting.
Lessons
Threat hunting concepts in Microsoft Sentinel
Threat hunting with Microsoft Sentinel
Hunt for threats using notebooks in Microsoft Sentinel
Lab : Threat hunting in Microsoft Sentinel
Perform threat hunting in Microsoft Sentinel
Threat hunting using notebooks with Microsoft Sentinel
After completing this module, students will be able to:
Describe threat hunting concepts for use with Microsoft Sentinel
Define a threat hunting hypothesis for use in Microsoft Sentinel
Use queries to hunt for threats.
Observe threats over time with livestream.
Explore API libraries for advanced threat hunting in Microsoft Sentinel
Create and use notebooks in Microsoft Sentinel