Skills gained

• Explain how Microsoft Defender for Endpoint can remediate risks in your environment
• Create a Microsoft Defender for Endpoint environment
• Configure Attack Surface Reduction rules on Windows 10 devices
• Perform actions on a device using Microsoft Defender for Endpoint
• Investigate domains and IP addresses in Microsoft Defender for Endpoint
• Investigate user accounts in Microsoft Defender for Endpoint
• Configure alert settings in Microsoft Defender for Endpoint
• Explain how the threat landscape is evolving
• Conduct advanced hunting in Microsoft 365 Defender
• Manage incidents in Microsoft 365 Defender
• Explain how Microsoft Defender for Identity can remediate risks in your environment
• Investigate DLP alerts in Microsoft Cloud App Security
• Explain the types of actions you can take on an insider risk management case
• Configure auto-provisioning in Azure Defender
• Remediate alerts in Azure Defender
• Construct KQL statements
• Filter searches based on event time, severity, domain, and other relevant data using KQL
• Extract data from unstructured string fields using KQL
• Manage an Azure Sentinel workspace
• Use KQL to access the watchlist in Azure Sentinel
• Manage threat indicators in Azure Sentinel
• Explain the Common Event Format and Syslog connector differences in Azure Sentinel
• Connect Azure Windows Virtual Machines to Azure Sentinel
• Configure Log Analytics agent to collect Sysmon events
• Create new analytics rules and queries using the analytics rule wizard
• Create a playbook to automate an incident response
• Use queries to hunt for threats
• Observe threats over time with livestream

Course outline

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

Skills gained

• Implement an identity management solution
• Implement an authentication and access management solutions
• Implement access management for apps
• Plan and implement an identity governancy strategy

Course outline

Module 1: Implement an identity management solution

Learn to create and manage your initial Azure Active Directory (Azure AD) implementation and configure the users, groups, and external identities you will use to run your solution.

Lessons

• Implement Initial configuration of Azure AD
• Create, configure, and manage identities
• Implement and manage external identities
• Implement and manage hybrid identity

Lab : Manage user roles

Lab : Setting tenant-wide properties

Lab : Assign licenses to users

Lab : Restore or remove deleted users

Lab : Add groups in Azure AD

Lab : Change group license assignments

Lab : Change user license assignments

Lab : Configure external collaboration

Lab : Add guest users to the directory

Lab : Explore dynamic groups

After completing this module, students will be able to:

• Deploy an initial Azure AD with custom settings
• Manage both internal and external identities
• Implement a hybrid identity solution

Module 2: Implement an authentication and access management solution

Implement and administer your access management using Azure AD. Use MFA, conditional access, and identity protection to manager your identity solution.

Lessons

• Secure Azure AD user with MFA
• Manage user authentication
• Plan, implement, and administer conditional access
• Manage Azure AD identity protection

Lab : Configure Azure AD MFA authentication registration policy

Lab : Enable sign-in risk policy

Lab : Manage Azure AD smart lockout values

Lab : Configure authentication session controls

Lab : Implement conditional access policies, roles, and assignments

Lab : Work with security defaults

Lab : Configure and deploy self-service password reset (SSPR)

Lab : Enable Azure AD MFA

After completing this module, students will be able to:

• Configure and manage user authentication including MFA
• Control access to resources using conditional access
• Use Azure AD Identity Protection to protect your organization

Module 3: Implement access management for Apps

Explore how applications can and should be added to your identity and access solution with application registration in Azure AD.

Lessons

• Plan and design the integration of enterprise for SSO
• Implement and monitor the integration of enterprise apps for SSO
• Implement app registration

Lab : Implement access management for apps

Lab : Create a custom role to management app registration

Lab : Register an application

Lab : Grant tenant-wide admin consent to an application

Lab : Add app roles to applications and recieve tokens

After completing this module, students will be able to:

• Register a new application to your Azure AD
• Plan and implement SSO for enterprise application
• Monitor and maintain enterprise applications

Module 4: Plan and implement an identity governancy strategy

Design and implement identity governance for your identity solution using entitlement, access reviews, privileged access, and monitoring your Azure Active Directory (Azure AD).

Lessons

• Plan and implement entitlement management
• Plan, implement, and manage access reviews
• Plan and implement privileged access
• Monitor and maintain Azure AD

Lab : Configure PIM for Azure AD roles

Lab : Assign Azure AD role in PIM

Lab : Assign Azure resource roles in PIM

Lab : Connect data from Azure AD to Azure Sentinel

Lab : Create access reviews for groups and apps

Lab : Manage the lifecycle of external users with Azure AD identity governance

Lab : Add terms of use acceptance report

Lab : Create and manage a resource catalog with Azure AD entitlement

After completing this module, students will be able to:

• Manage and maintain Azure AD from creation to solution
• Use access reviews to maintain your Azure AD
• Grant access to users with entitlement management

Skills gained

• Explain and use sensitivity labels.
• Configure Data Loss Prevention policies.
• Secure messages in Office 365.
• Describe the information governance configuration process.
• Define key terms associated with Microsoft’s information protection and governance solutions.
• Explain the Content explorer and Activity explorer.
• Describe how to use sensitive information types and trainable classifiers.
• Review and analyze DLP reports.
• Identify and mitigate DLP policy violations.
• Describe the integration of DLP with Microsoft Cloud App Security (MCAS).
• Deploy Endpoint DLP
• Describe records management
• Configure event driven retention
• Import a file plan
• Configure retention policies and labels
• Create custom keyword dictionaries
• Implement document fingerprinting

Course outline

Module 1: Implement Information Protection in Microsoft 365

Organizations require information protection solutions to protect their data against theft and accidental loss. Learn how to protect your sensitive information. Learn how Microsoft 365 information protection and governance solutions help you protect and govern your data, throughout its lifecycle – wherever it lives, or wherever it travels. Learn about the information available to help you understand your data landscape and know your data. Learn how to use sensitive information types to support your information protection strategy. Learn about how sensitivity labels are used to classify and protect business data while making sure that user productivity and their ability to collaborate are not hindered.

Lessons

• Introduction to information protection and governance in Microsoft 365
• Classify data for protection and governance
• Create and manage sensitive information types
• Describe Microsoft 365 encryption
• Deploy message encryption in Office 365
• Configure sensitivity labels
• Apply and manage sensitivity labels

Lab : Implement Information Protection

• Assign permissions for compliance
• Manage Office 365 message encryption
• Manage Sensitive Information Types
• Manage Trainable Classifiers
• Manage Sensitivity Labels

After completing this module, students will be able to:

• Describe Microsoft’s approach to information protection and governance.
• List the components of the Data Classification solution.
• Describe how to use sensitive information types and trainable classifiers.
• Implement document fingerprinting
• Create custom keyword dictionaries
• Deploy message encryption in Office 365

Module 2: Implement Data Loss Prevention in Microsoft 365

In this module we discuss how to implement data loss prevention techniques to secure your Microsoft 365 data. Learn how to discover, classify, and protect sensitive and business-critical content throughout its lifecycle across your organization. Learn how to configure and implement data loss prevention policies and integrate them with Microsoft Cloud App Security. Learn how to respond to and mitigate data loss policy violations.

Lessons

• Prevent Data loss in Microsoft 365
• Implement Endpoint data loss prevention
• Configure DLP policies for Microsoft Cloud App Security and Power Platform
• Manage DLP policies and reports in Microsoft 365

Lab : Implement Data Loss Prevention

• Manage DLP policies
• Manage Endpoint DLP
• Test DLP policies
• Manage DLP reports

After completing this module, students will be able to:

• Describe the information protection configuration process.
• Articulate deployment and adoption best practices.
• Describe the integration of DLP with Microsoft Cloud App Security (MCAS).
• Configure policies in Microsoft Cloud App Security.
• Review and analyze DLP reports.
• Identify and mitigate DLP policy violations.
• Mitigate DLP violations in MCAS.

Module 3: Implement Information Governance in Microsoft 365

In this module you will learn how to plan and implement information governance strategies for an organization. Learn how to manage your content lifecycle using solutions to import, store, and classify business-critical data so you can keep what you need and delete what you don't. Learn how to manage retention for Microsoft 365, and how retention solutions are implemented in the individual Microsoft 365 services. Learn how to use intelligent classification to automate and simplify the retention schedule for regulatory, legal, and business-critical records in your organization.

Lessons

• Govern information in Microsoft 365
• Manage data retention in Microsoft 365 workloads
• Manage records in Microsoft 365

Lab : Implement Information Governance

• Configure Retention Labels
• Implement Retention Labels
• Configure Service-based Retention
• Use eDiscovery for Recovery
• Configure Records Management

After completing this module, students will be able to:

• Describe the information governance configuration process.
• Articulate deployment and adoption best practices.
• Describe the retention features in Microsoft 365 workloads.
• Configure retention settings in Microsoft Teams and SharePoint Online.
• Implement retention for Exchange Mailbox items.
• Recover content protected by retention settings.
• Regain protected items from Exchange Mailboxes.
• Describe the records management configuration process.