Duration:

4 Days

Audience:

Employees of federal, state and local governments; and businesses working with the government.

Course Description:

Learn how to investigate, respond to, and hunt for threats using Microsoft Azure Sentinel, Azure Defender, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Azure Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst.

Learning Objectives:

After completing this course, students will be able to:

  • 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

1 – MITIGATE THREATS USING MICROSOFT DEFENDER FOR ENDPOINT
  • Protect against threats with Microsoft Defender for Endpoint
  • Deploy the Microsoft Defender for Endpoint environment
  • Implement Windows 10 security enhancements with Microsoft Defender for Endpoint
  • Manage alerts and incidents in Microsoft Defender for Endpoint
  • Perform device investigations in Microsoft Defender for Endpoint
  • Perform actions on a device using Microsoft Defender for Endpoint
  • Perform evidence and entities investigations using Microsoft Defender for Endpoint
  • Configure and manage automation using Microsoft Defender for Endpoint
  • Configure for alerts and detections in Microsoft Defender for Endpoint
  • Utilize Threat and Vulnerability Management in Microsoft Defender for Endpoint
  • Lab : Mitigate threats using Microsoft 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
  • Investigate alerts in Microsoft Defender for Endpoint
  • 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
2 – MITIGATE THREATS USING MICROSOFT 365 DEFENDER
  • Introduction to threat protection with Microsoft 365
  • Mitigate incidents using Microsoft 365 Defender
  • Protect your identities with Azure AD Identity Protection
  • Remediate risks with Microsoft Defender for Office 365
  • Safeguard your environment with Microsoft Defender for Identity
  • Secure your cloud apps and services with Microsoft Cloud App Security
  • Respond to data loss prevention alerts using Microsoft 365
  • Manage insider risk in Microsoft 365
  • Lab : Mitigate threats using Microsoft 365 Defender
  • Mitigate Attacks with 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
  • Describe the investigation and remediation features of Azure Active Directory Identity Protection.
  • Define the capabilities of Microsoft Defender for Endpoint.
  • Explain how Microsoft Defender for Endpoint can remediate risks in your environment.
  • Define the Cloud App Security framework
  • Explain how Cloud Discovery helps you see what’s going on in your organization
3 – MITIGATE THREATS USING AZURE DEFENDER
  • 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
4 – CREATE QUERIES FOR AZURE SENTINEL USING KUSTO QUERY LANGUAGE (KQL)
  • 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 using KQL
  • Work with string data using KQL statements
  • 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
5 – CONFIGURE YOUR AZURE SENTINEL ENVIRONMENT
  • 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
6 – CONNECT LOGS TO AZURE SENTINEL
  • 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 Microsoft services to Azure Sentinel
  • Connect Windows hosts to Azure Sentinel
  • Connect Linux hosts to Azure Sentinel
  • Connect Threat intelligence to Azure Sentinel
  • After completing this module, students will be able to:
  • Explain the use of data connectors in Azure Sentinel
  • Explain the Common Event Format and Sysl