Course Outline
Module 1: Mitigate threats using Microsoft Defender
Learn to analyze threat data across domains and rapidly remediate threats using built-in orchestration and automation in Microsoft 365 Defender. Explore cybersecurity threats and how Microsoft’s new threat protection tools safeguard users, devices, and data. Utilize advanced detection and remediation of identity-based threats to protect 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 investigation and remediation features of Azure Active Directory Identity Protection
- Define the Cloud App Security framework
- Explain how Cloud Discovery provides visibility into organizational activities
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. Understand how this solution enhances organizational security, including device onboarding and security configuration. Learn to investigate incidents and alerts, perform advanced hunting, and consult with threat experts. Configure automation through environmental settings and identify environment weaknesses using Threat and Vulnerability Management.
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, to protect Azure, hybrid cloud, and on-premises workloads. Understand the purpose of Azure Defender, its relationship to Azure Security Center, and how to enable it. Learn about the protections and detections provided for various cloud workloads and how to extend Azure Defender capabilities to hybrid environments.
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 frequently used operators, showcasing security-related table queries. KQL is essential for creating analytics, workbooks, and hunting in Azure Sentinel. Learn how basic KQL structures form the foundation for complex statements, summarize and visualize data, and 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
Begin working with Azure Sentinel by properly configuring the workspace. Traditional SIEM systems often require lengthy setup times and are not optimized for cloud workloads. Azure Sentinel enables rapid security insights from cloud and on-premises data. Understand Azure Sentinel workspace architecture to meet security operations requirements. Learn about tables, fields, and data ingestion, and how to query 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 scalable data across users, devices, applications, and infrastructure (on-premises and multi-cloud) to Azure Sentinel. The primary method involves using Azure Sentinel data connectors. This module provides an overview of available connectors, including 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 them using built-in orchestration and automation in Azure Sentinel. Learn to create Azure Sentinel playbooks for security threat response. Investigate incident management, understand events and entities, and discover resolution methods. 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, learn to proactively identify threat behaviors using Azure Sentinel queries. Discover how to use bookmarks and livestream for threat hunting. Additionally, learn to leverage notebooks in Azure Sentinel for advanced hunting scenarios.
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 knowledge 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)
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.
Otilia Pasareti - Merthyr College
Course - Fundamentals of Corporate Cyber Warfare
Pentester skills what demonstrate teacher
