Course Outline
Module 1: Mitigate threats using Microsoft Defender
Analyze threat data across domains and rapidly remediate threats leveraging built-in orchestration and automation within Microsoft 365 Defender. Explore cybersecurity threats and discover how Microsoft's new threat protection tools safeguard your organization's users, devices, and data. Utilize advanced detection and remediation capabilities for 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. Discover how Microsoft Defender for Endpoint helps maintain organizational security. Learn to deploy the Microsoft Defender for Endpoint environment, including device onboarding and security configuration. Master incident and alert investigation techniques using Microsoft Defender for Endpoint. Perform advanced hunting and consult with threat experts. Additionally, learn to configure automation in Microsoft Defender for Endpoint by managing environmental settings, and identify environmental weaknesses 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
Leverage Azure Defender, integrated with Azure Security Center, for workload protection and security across Azure, hybrid cloud, and on-premises environments. Understand the purpose of Azure Defender, its relationship to Azure Security Center, and how to enable it. Explore the protections and detections provided by Azure Defender for various cloud workloads. Learn how to extend 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 for detection, analysis, and reporting in Azure Sentinel. This module focuses on the most frequently used operators, with example KQL statements demonstrating security-related table queries. KQL serves as the query language for creating analytics, workbooks, and performing hunts in Azure Sentinel. Learn how basic KQL statement structures form the foundation for complex statements, and how summarizing and visualizing data with KQL aids in building detections in Azure Sentinel. Additionally, learn to manipulate string data ingested from log sources using KQL.
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
Begin working with Azure Sentinel by properly configuring the Azure Sentinel workspace. Traditional Security Information and Event Management (SIEM) systems often require extensive setup time and are not always optimized for cloud workloads. Azure Sentinel enables rapid access to valuable security insights from both cloud and on-premises data. This module guides you through the architecture of Azure Sentinel workspaces to ensure your system meets organizational security operations requirements. As a Security Operations Analyst, understanding the tables, fields, and ingested data is crucial. Learn to query the most commonly 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 cloud-scale data across all users, devices, applications, and infrastructure, spanning on-premises and multiple clouds, to Azure Sentinel. The primary method for connecting log data involves using Azure Sentinel-provided data connectors. This module provides an overview of available data connectors and explores 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 unseen threats and rapidly remediate them using built-in orchestration and automation in Azure Sentinel. Learn to create Azure Sentinel playbooks for responding to security threats. Investigate Azure Sentinel incident management, explore events and entities, and discover incident resolution strategies. Additionally, learn to query, visualize, and monitor data within 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 will learn to proactively identify threat behaviors using Azure Sentinel queries. You will also utilize bookmarks and livestream for threat hunting. Furthermore, learn how to use notebooks in Azure Sentinel for advanced hunting capabilities.
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
Requirements
Basic understanding of Microsoft 365
Fundamental understanding of Microsoft security, compliance, and identity products
Intermediate understanding of Windows 10
Familiarity with Azure services, specifically Azure SQL Database and Azure Storage
Familiarity with Azure virtual machines and virtual networking
Basic understanding of scripting concepts.
Testimonials (2)
Thank you for the informative and wonderful course. I would also like to thank the trainer Mr. Ahmed El Gendy for delivering the information in a very smooth and understandable manner. I have benefited greatly from this course and can confidently say that I now understand all the topics and can apply them practically.
Atheer hadi aljezani - Tamkeen Technologies
Course - Windows Server 2019 Administration (authorized training course WS 011T00)
It did give me the insight what I needed :) I am starting teaching on a BTEC Level 3 qualification and wanted to widen my knowledge in this area.
