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Temario<\/h2>\n
Module 1: Mitigate threats using Microsoft Defender for Endpoint<\/p>\n
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.<\/p>\n
Lessons M1<\/p>\n
Protect against threats with Microsoft Defender for Endpoint
\nDeploy the Microsoft Defender for Endpoint environment
\nImplement Windows 10 security enhancements with Microsoft Defender for Endpoint
\nManage alerts and incidents in Microsoft Defender for Endpoint
\nPerform device investigations in Microsoft Defender for Endpoint
\nPerform actions on a device using Microsoft Defender for Endpoint
\nPerform evidence and entities investigations using Microsoft Defender for Endpoint
\nConfigure and manage automation using Microsoft Defender for Endpoint
\nConfigure for alerts and detections in Microsoft Defender for Endpoint
\nUtilize Threat and Vulnerability Management in Microsoft Defender for Endpoint
\nLab M1: Mitigate threats using Microsoft Defender for Endpoint<\/p>\n
Deploy Microsoft Defender for Endpoint
\nMitigate Attacks using Defender for Endpoint
\nAfter completing module 1, students will be able to:<\/p>\n
Define the capabilities of Microsoft Defender for Endpoint
\nConfigure Microsoft Defender for Endpoint environment settings
\nConfigure Attack Surface Reduction rules on Windows 10 devices
\nInvestigate alerts in Microsoft Defender for Endpoint
\nDescribe device forensics information collected by Microsoft Defender for Endpoint
\nConduct forensics data collection using Microsoft Defender for Endpoint
\nInvestigate user accounts in Microsoft Defender for Endpoint
\nManage automation settings in Microsoft Defender for Endpoint
\nManage indicators in Microsoft Defender for Endpoint
\nDescribe Threat and Vulnerability Management in Microsoft Defender for Endpoint
\nModule 2: Mitigate threats using Microsoft 365 Defender<\/p>\n
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\u2019s 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.<\/p>\n
Lessons M2<\/p>\n
Introduction to threat protection with Microsoft 365
\nMitigate incidents using Microsoft 365 Defender
\nProtect your identities with Azure AD Identity Protection
\nRemediate risks with Microsoft Defender for Office 365
\nSafeguard your environment with Microsoft Defender for Identity
\nSecure your cloud apps and services with Microsoft Cloud App Security
\nRespond to data loss prevention alerts using Microsoft 365
\nManage insider risk in Microsoft 365
\nLab M2: Mitigate threats using Microsoft 365 Defender<\/p>\n
Mitigate Attacks with Microsoft 365 Defender
\nAfter completing module 2, students will be able to:<\/p>\n
Explain how the threat landscape is evolving.
\nManage incidents in Microsoft 365 Defender
\nConduct advanced hunting in Microsoft 365 Defender
\nDescribe the investigation and remediation features of Azure Active Directory Identity Protection.
\nDefine the capabilities of Microsoft Defender for Endpoint.
\nExplain how Microsoft Defender for Endpoint can remediate risks in your environment.
\nDefine the Cloud App Security framework
\nExplain how Cloud Discovery helps you see what’s going on in your organization
\nModule 3: Mitigate threats using Azure Defender<\/p>\n
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.<\/p>\n
Lessons M3<\/p>\n
Plan for cloud workload protections using Azure Defender
\nExplain cloud workload protections in Azure Defender
\nConnect Azure assets to Azure Defender
\nConnect non-Azure resources to Azure Defender
\nRemediate security alerts using Azure Defender
\nLab M3: Mitigate threats using Azure Defender<\/p>\n
Deploy Azure Defender
\nMitigate Attacks with Azure Defender
\nAfter completing module 3, students will be able to:<\/p>\n
Describe Azure Defender features
\nExplain Azure Security Center features
\nExplain which workloads are protected by Azure Defender
\nExplain how Azure Defender protections function
\nConfigure auto-provisioning in Azure Defender
\nDescribe manual provisioning in Azure Defender
\nConnect non-Azure machines to Azure Defender
\nDescribe alerts in Azure Defender
\nRemediate alerts in Azure Defender
\nAutomate responses in Azure Defender
\nModule 4: Create queries for Azure Sentinel using Kusto Query Language (KQL)<\/p>\n
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.<\/p>\n
Lessons M4<\/p>\n
Construct KQL statements for Azure Sentinel
\nAnalyze query results using KQL
\nBuild multi-table statements using KQL
\nWork with data in Azure Sentinel using Kusto Query Language
\nLab M4: Create queries for Azure Sentinel using Kusto Query Language (KQL)<\/p>\n
Construct Basic KQL Statements
\nAnalyze query results using KQL
\nBuild multi-table statements using KQL
\nWork with string data using KQL statements
\nAfter completing module 4, students will be able to:<\/p>\n
Construct KQL statements
\nSearch log files for security events using KQL
\nFilter searches based on event time, severity, domain, and other relevant data using KQL
\nSummarize data using KQL statements
\nRender visualizations using KQL statements
\nExtract data from unstructured string fields using KQL
\nExtract data from structured string data using KQL
\nCreate Functions using KQL
\nModule 5: Configure your Azure Sentinel environment<\/p>\n
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.<\/p>\n
Lessons M5<\/p>\n
Introduction to Azure Sentinel
\nCreate and manage Azure Sentinel workspaces
\nQuery logs in Azure Sentinel
\nUse watchlists in Azure Sentinel
\nUtilize threat intelligence in Azure Sentinel
\nLab M5 : Configure your Azure Sentinel environment<\/p>\n
Create an Azure Sentinel Workspace
\nCreate a Watchlist
\nCreate a Threat Indicator
\nAfter completing module 5, students will be able to:<\/p>\n
Identify the various components and functionality of Azure Sentinel.
\nIdentify use cases where Azure Sentinel would be a good solution.
\nDescribe Azure Sentinel workspace architecture
\nInstall Azure Sentinel workspace
\nManage an Azure Sentinel workspace
\nCreate a watchlist in Azure Sentinel
\nUse KQL to access the watchlist in Azure Sentinel
\nManage threat indicators in Azure Sentinel
\nUse KQL to access threat indicators in Azure Sentinel
\nModule 6: Connect logs to Azure Sentinel<\/p>\n
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.<\/p>\n
Lessons M6<\/p>\n
Connect data to Azure Sentinel using data connectors
\nConnect Microsoft services to Azure Sentinel
\nConnect Microsoft 365 Defender to Azure Sentinel
\nConnect Windows hosts to Azure Sentinel
\nConnect Common Event Format logs to Azure Sentinel
\nConnect syslog data sources to Azure Sentinel
\nConnect threat indicators to Azure Sentinel
\nLab M6: Connect logs to Azure Sentinel<\/p>\n
Connect Microsoft services to Azure Sentinel
\nConnect Windows hosts to Azure Sentinel
\nConnect Linux hosts to Azure Sentinel
\nConnect Threat intelligence to Azure Sentinel
\nAfter completing module 6, students will be able to:<\/p>\n
Explain the use of data connectors in Azure Sentinel
\nExplain the Common Event Format and Syslog connector differences in Azure Sentinel
\nConnect Microsoft service connectors
\nExplain how connectors auto-create incidents in Azure Sentinel
\nActivate the Microsoft 365 Defender connector in Azure Sentinel
\nConnect Azure Windows Virtual Machines to Azure Sentinel
\nConnect non-Azure Windows hosts to Azure Sentinel
\nConfigure Log Analytics agent to collect Sysmon events
\nExplain the Common Event Format connector deployment options in Azure Sentinel
\nConfigure the TAXII connector in Azure Sentinel
\nView threat indicators in Azure Sentinel
\nModule 7: Create detections and perform investigations using Azure Sentinel<\/p>\n
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.<\/p>\n
Lessons M7<\/p>\n
Threat detection with Azure Sentinel analytics
\nThreat response with Azure Sentinel playbooks
\nSecurity incident management in Azure Sentinel
\nUse entity behavior analytics in Azure Sentinel
\nQuery, visualize, and monitor data in Azure Sentinel
\nLab M7: Create detections and perform investigations using Azure Sentinel<\/p>\n
Create Analytical Rules
\nModel Attacks to Define Rule Logic
\nMitigate Attacks using Azure Sentinel
\nCreate Workbooks in Azure Sentinel
\nAfter completing module 7, students will be able to:<\/p>\n
Explain the importance of Azure Sentinel Analytics.
\nCreate rules from templates.
\nManage rules with modifications.
\nExplain Azure Sentinel SOAR capabilities.
\nCreate a playbook to automate an incident response.
\nInvestigate and manage incident resolution.
\nExplain User and Entity Behavior Analytics in Azure Sentinel
\nExplore entities in Azure Sentinel
\nVisualize security data using Azure Sentinel Workbooks.
\nModule 8: Perform threat hunting in Azure Sentinel<\/p>\n
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.<\/p>\n
Lessons M8<\/p>\n
Threat hunting with Azure Sentinel
\nHunt for threats using notebooks in Azure Sentinel
\nLab M8 : Threat hunting in Azure Sentinel<\/p>\n
Threat Hunting in Azure Sentinel
\nThreat Hunting using Notebooks
\nAfter completing this module, students will be able to:
\nDescribe threat hunting concepts for use with Azure Sentinel
\nDefine a threat hunting hypothesis for use in Azure Sentinel
\nUse queries to hunt for threats.
\nObserve threats over time with livestream.
\nExplore API libraries for advanced threat hunting in Azure Sentinel
\nCreate and use notebooks in Azure Sentinel
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