Defend Against Cyberthreats with Microsoft’s Security Operations Platform (SC-200)

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Learn how to investigate, respond to, and hunt for threats using Microsoft Azure Sentinel, Azure Defender, and Microsoft 365 Defender. This Microsoft Security Operations Analyst Tr aining will teach you how to mitigate cyber threats using these technologies. Specifically, you will configure and use Azure Sentinel and Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course is designed for people who work in a security operations role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst. Microsoft Security Operations Analyst Training (SC-200) Benefits In this course, you will learn how 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. Prerequisites Before attempting SC-200, attendees should have a: 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. Fundamental understanding of scripting concepts. Exam Information This course can help you prepare for the following Microsoft role-based certification exam — Exam SC-200: Microsoft Security Operations Analyst Security Operations Analyst Training Outline Module 1: Introduction to Microsoft 365 Threat Protection In this module, you'll learn how to use the Microsoft 365 Defender integrated threat protection suite and the role that Microsoft 365 Defender plays in a modern SOC. You should now be able to: Understand Microsoft 365 Defender solution by domain Understand Microsoft 365 Defender's role in a Modern SOC Module 2: Mitigate incidents using Microsoft 365 Defender Learn how the Microsoft 365 Defender portal provides a unified view of incidents from the Microsoft 365 Defender family of products. Upon completion of this module, the learner will be able to: Manage incidents in Microsoft 365 Defender Investigate incidents in Microsoft 365 Defender Conduct advanced hunting in Microsoft 365 Defender Module 3: Protect your identities with Azure AD Identity Protection Use the advanced detection and remediation of identity-based threats to protect your Azure Active Directory identities and applications from compromise. In this module, you will: Describe the features of Azure Active Directory Identity Protection. Describe the investigation and remediation features of Azure Active Directory Identity Protection. Module 4: Remediate risks with Microsoft Defender for Office 365 Learn about the Microsoft Defender for Office 365 component of Microsoft 365 Defender. In this module, you will learn how to: Define the capabilities of Microsoft Defender for Office 365. Understand how to simulate attacks within your network. Explain how Microsoft Defender for Office 365 can remediate risks in your environment. Module 5: Safeguard your environment with Microsoft Defender for Identity Learn about the Microsoft Defender for Identity component of Microsoft 365 Defender. Upon completion of this module, you should be able to: Define the capabilities of Microsoft Defender for Identity. Understand how to configure Microsoft Defender for Identity sensors. Explain how Microsoft Defender for Identity can remediate risks in your environment. Module 6: Secure your cloud apps and services with Microsoft Defender for Cloud Apps Microsoft Defender for Cloud Apps is a cloud access security broker (CASB) that operates on multiple clouds. It provides rich visibility, control over data travel, and sophisticated analytics to identify and combat cyber threats across all your cloud services. Learn how to use Defender for Cloud Apps in your organization. At the end of this module, you should be able to: Define the Defender for Cloud Apps framework Explain how Cloud Discovery helps you see what's going on in your organization Understand how to use Conditional Access App Control policies to control access to the apps in your organization Module 7: Respond to data loss prevention alerts using Microsoft 365 As a Security Operations Analyst, you must understand compliance-related terminology and alerts. Learn how the data loss prevention alerts will help your investigation find the full scope of the incident. Upon completion of this module, the learner will be able to: Describe data loss prevention (DLP) components in Microsoft 365 Investigate DLP alerts in the Microsoft Purview compliance portal Investigate DLP alerts in Microsoft Defender for Cloud Apps Module 8: Manage Insider Risk in Microsoft Purview Microsoft Purview Insider Risk Management helps organizations address internal risks, such as IP theft, fraud, and sabotage. Learn about insider risk management and how Microsoft technologies can help you detect, investigate, and take action on risky activities in your organization. Upon completion of this module, you should be able to: Explain how Microsoft Purview Insider Risk Management can help prevent, detect, and contain internal risks in an organization. Describe the types of built-in, pre-defined policy templates. List the prerequisites that need to be met before creating insider risk policies. Explain the actions you can take on an insider risk management case. Module 9: Investigate threats by using audit features in Microsoft 365 Defender and Microsoft Purview Standard This module examines how to search for audited activities using the Microsoft Purview Audit (UAL) solution, including exporting, configuring, and viewing the audit log records retrieved from an audit log search. By the end of this module, you'll be able to: Describe the differences between Audit (Standard) and Audit (Premium). Start recording user and admin activity in the Unified Audit Log (UAL). Identify the core features of the Audit (Standard) solution. Set up and implement audit log searching using the Audit (Standard) solution. Export, configure, and view audit log records. Use audit log searching to troubleshoot common support issues. Module 10: Investigate threats using audit in Microsoft 365 Defender and Microsoft Purview (Premium) This module explores the differences between Microsoft Purview Audit (Standard) and Audit (Premium), plus the critical functionality in Audit (Premium), including setup requirements, enabling audit logging, creating audit log retention policies, and performing forensics investigations. By the end of this module, you'll be able to: Describe the differences between Audit (Standard) and Audit (Premium). Set up and implement Microsoft Purview Audit (Premium). Create audit log retention policies. Perform forensic investigations of compromised user accounts. Module 11: Investigate threats with Content search in Microsoft Purview This module examines how to search for content in the Microsoft Purview compliance portal using Content Search functionality, including how to view and export the search results and configure search permissions filtering. By the end of this module, you'll be able to: Describe how to use content search in the Microsoft Purview compliance portal. Design and create a content search. Preview the search results. View the search statistics. Export the search results and search report. Configure search permission filtering. Module 12: Protect against threats with Microsoft Defender for Endpoint Learn how Microsoft Defender for Endpoint can help your organization stay secure. In this module, you will learn how to: Define the capabilities of Microsoft Defender for Endpoint. Understand how to hunt threats within your network. Explain how Microsoft Defender for Endpoint can remediate risks in your environment. Module 13: Deploy the Microsoft Defender for the Endpoint environment Learn how to deploy the Microsoft Defender for the Endpoint environment, including onboarding devices and configuring security. Upon completion of this module, the learner will be able to: Create a Microsoft Defender for the Endpoint environment Onboard devices to be monitored by Microsoft Defender for Endpoint Configure Microsoft Defender for Endpoint environment settings. Module 14: Implement Windows security enhancements with Microsoft Defender for Endpoint Microsoft Defender for Endpoint gives you various tools to eliminate risks by reducing the surface area for attacks without blocking user productivity. Learn about Attack Surface Reduction (ASR) with Microsoft Defender for Endpoint. Upon completion of this module, the learner will be able to: Explain Attack Surface Reduction in Windows Enable Attack Surface Reduction rules on Windows 10 devices Configure Attack Surface Reduction rules on Windows 10 devices Module 15: Perform device investigations in Microsoft Defender for Endpoint Microsoft Defender for Endpoint provides detailed device information, including forensics information. Learn about information available to you through Microsoft Defender for Endpoint that will aid in your investigations. Upon completion of this module, the learner will be able to: Use the device page in Microsoft Defender for Endpoint Describe device forensics information collected by Microsoft Defender for Endpoint Describe behavioral blocking by Microsoft Defender for Endpoint Module 16: Perform actions on a device using Microsoft Defender for Endpoint Learn how Microsoft Defender for Endpoint provides the remote capability to contain devices and collect forensics data. Upon completion of this module, the learner will be able to: Perform actions on a device using Microsoft Defender for Endpoint Conduct forensics data collection using Microsoft Defender for Endpoint Access devices remotely using Microsoft Defender for Endpoint Module 17: Perform evidence and entity investigations using Microsoft Defender for Endpoint Learn about the artifacts in your environment and how they relate to other artifacts and alerts that will provide insight to understand the overall impact on your environment. Upon completion of this module, the learner will be able to: Investigate files in Microsoft Defender for Endpoint Investigate domains and IP addresses in Microsoft Defender for Endpoint Investigate user accounts in Microsoft Defender for Endpoint Module 18: Configure and manage automation using Microsoft Defender for Endpoint Learn how to configure automation in Microsoft Defender for Endpoint by managing environmental settings. Upon completion of this module, the learner will be able to: Configure advanced features of Microsoft Defender for Endpoint Manage automation settings in Microsoft Defender for Endpoint Module 19: Configure for alerts and detections in Microsoft Defender for Endpoint Learn how to configure settings to manage alerts and notifications. You'll also learn to enable indicators as part of the detection process. After completion of this module, you'll be able to: Configure alert settings in Microsoft Defender for Endpoint Manage indicators in Microsoft Defender for Endpoint Module 20: Utilize Vulnerability Management in Microsoft Defender for Endpoint Learn about your environment's weaknesses using Vulnerability Management in Microsoft Defender for Endpoint. Upon completion of this module, the learner will be able to: Describe Vulnerability Management in Microsoft Defender for Endpoint Identify vulnerabilities on your devices with Microsoft Defender for Endpoint Track emerging threats in Microsoft Defender for Endpoint Module 21: Plan for cloud workload protections using Microsoft Defender for Cloud Learn the purpose of Microsoft Defender for Cloud and how to enable the system. Upon completion of this module, the learner will be able to: Describe Microsoft Defender for Cloud features Microsoft Defender for Cloud Workload Protections Enable Microsoft Defender for Cloud Module 22: Connect Azure assets to Microsoft Defender for Cloud Learn how to connect your Azure assets to Microsoft Defender for Cloud to detect threats. Upon completion of this module, the learner will be able to: Explore Azure assets Configure auto-provisioning in Microsoft Defender for the Cloud Describe manual provisioning in Microsoft Defender for Cloud Module 23: Connect non-Azure resources to Microsoft Defender for Cloud Learn how to add Microsoft Defender for Cloud capabilities to your hybrid environment. Upon completion of this module, the learner will be able to: Connect non-Azure machines to Microsoft Defender for Cloud Connect AWS accounts to Microsoft Defender for Cloud Connect GCP accounts to Microsoft Defender for Cloud Module 24: Manage your cloud security posture management Microsoft Defender for Cloud, Cloud Security Posture Management (CSPM) provides visibility into vulnerable resources and hardening guidance. In this module, you'll learn how Microsoft Defender for Cloud provides security posture management. Upon completion, you'll be able to: Describe Microsoft Defender for Cloud features. Explain the Microsoft Defender for Cloud security posture management protections for your resources. Module 25: Explain cloud workload protections in Microsoft Defender for Cloud Learn about the protections and detections Microsoft Defender provides for Cloud with each cloud workload. Upon completion of this module, the learner will be able to: Explain which workloads are protected by Microsoft Defender for Cloud Describe the benefits of the protections offered by Microsoft Defender for Cloud Explain how Microsoft Defender for Cloud protection function Module 26: Remediate security alerts using Microsoft Defender for Cloud Learn how to remediate security alerts in Microsoft Defender for Cloud. Upon completion of this module, the learner will be able to: Describe alerts in Microsoft Defender for Cloud Remediate alerts in Microsoft Defender for Cloud Automate responses in Microsoft Defender for Cloud Module 27: Construct KQL statements for Microsoft Sentinel KQL is the query language used to perform analysis on data to create analytics, workbooks, and perform hunting in Microsoft Sentinel. Learn how basic KQL statement structure provides the foundation to build more complex statements. Upon completion of this module, the learner 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 Module 28: Analyze query results using KQL Learning to summarize and visualize data with a KQL statement provides the foundation for building detections in Microsoft Sentinel. Upon completion of this module, the learner will be able to: Summarize data using KQL statements Render visualizations using KQL statements Module 29: Build multi-table statements using KQL Learn how to work with multiple tables using KQL. Upon completion of this module, the learner will be able to: Create queries using unions to view results across multiple tables using KQL Merge two tables with the join operator using KQL Module 30: Work with data in Microsoft Sentinel using Kusto Query Language Learn how to use the Kusto Query Language (KQL) to manipulate string data ingested from log sources. Upon completion of this module, the learner will be able to: Extract data from unstructured string fields using KQL Extract data from structured string data using KQL Create Functions using KQL Module 31: Introduction to Microsoft Sentinel 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. Microsoft Sentinel lets you quickly get valuable security insights from your Cloud and on-premises data. This module helps you get started. By the end of this module, you'll be able to: Identify the various components and functionality of Microsoft Sentinel. Identify use cases where Microsoft Sentinel would be a good solution. Module 32: Create and manage Microsoft Sentinel workspaces Learn about the architecture of Microsoft Sentinel workspaces to ensure you configure your system to meet your organization's security operations requirements. Upon completion of this module, the learner will be able to: Describe Microsoft Sentinel workspace architecture Install Microsoft Sentinel workspace Manage a Microsoft Sentinel workspace Module 33: Query logs in Microsoft Sentinel As a Security Operations Analyst, you must understand your workspace's tables, fields, and data ingested. Learn how to query the most used data tables in Microsoft Sentinel. Upon completion of this module, the learner will be able to: Use the Logs page to view data tables in Microsoft Sentinel Query the most used tables using Microsoft Sentinel Module 34: Use watchlists in Microsoft Sentinel Learn how to create Microsoft Sentinel watchlists, a named list of imported data. Once created, you can easily use the named watchlist in KQL queries. Upon completion of this module, the learner will be able to: Create a watchlist in Microsoft Sentinel Use KQL to access the watchlist in Microsoft Sentinel Module 35: Utilize threat intelligence in Microsoft Sentinel Learn how the Microsoft Sentinel Threat Intelligence page enables you to manage threat indicators. Upon completion of this module, the learner will be able to: Manage threat indicators in Microsoft Sentinel Use KQL to access threat indicators in Microsoft Sentinel Module 36: Connect data to Microsoft Sentinel using data connectors The primary approach to connect log data is using the Microsoft Sentinel-provided data connectors. This module provides an overview of the available data connectors. Upon completion of this module, the learner will be able to: Describe how to install Content Hub Solutions to provision Microsoft Sentinel Data connectors Explain the use of data connectors in Microsoft Sentinel Describe the Microsoft Sentinel data connector providers Explain the Common Event Format and Syslog connector differences in Microsoft Sentinel Module 37: Connect Microsoft services to Microsoft Sentinel Learn how to connect Microsoft 365 and Azure service logs to Microsoft Sentinel. Upon completion of this module, the learner will be able to: Connect Microsoft service connectors Explain how connectors auto-create incidents in Microsoft Sentinel Module 38: Connect Microsoft 365 Defender to Microsoft Sentinel Learn about the configuration options and data Microsoft Sentinel connectors provide for Microsoft 365 Defender. Upon completion of this module, the learner will be able to: Activate the Microsoft 365 Defender connector in Microsoft Sentinel Activate the Microsoft Defender for Cloud connector in Microsoft Sentinel Activate the Microsoft Defender for IoT connector in Microsoft Sentinel Module 39: Connect Windows hosts to Microsoft Sentinel One of the most common logs to collect is Windows security events. Learn how Microsoft Sentinel makes this easy with the Security Events connector. Upon completion of this module, the learner will be able to: Connect Azure Windows Virtual Machines to Microsoft Sentinel Connect non-Azure Windows hosts to Microsoft Sentinel Configure Log Analytics agent to collect Sysmon events Module 40: Connect Common Event Format logs to Microsoft Sentinel Most vendor-provided connectors utilize the CEF connector. Learn about the Common Event Format (CEF) connector's configuration options. Upon completion of this module, the learner will be able to: Explain the Common Event Format connector deployment options in Microsoft Sentinel Run the deployment script for the Common Event Format connector Module 41: Connect syslog data sources to Microsoft Sentinel Learn about the Azure Monitor Agent Linux Syslog Data Collection Rule configuration options, which enable you to parse Syslog data. Upon completion of this module, the learner can: Describe the Azure Monitor Agent Data Collection Rule (DCR) for Syslog Install and Configure the Azure Monitor Linux Agent extension with the Syslog DCR Run the Azure Arc Linux deployment and connection scripts Verify Syslog log data is available in Microsoft Sentinel Create a parser using KQL in Microsoft Sentinel Module 42: Connect threat indicators to Microsoft Sentinel Using the provided data connectors, learn how to connect Threat Intelligence Indicators to the Microsoft Sentinel workspace. Upon completion of this module, the learner will be able to: Configure the TAXII connector in Microsoft Sentinel Configure the Threat Intelligence Platform connector in Microsoft Sentinel View threat indicators in Microsoft Sentinel Module 43: Threat detection with Microsoft Sentinel analytics In this module, you learned how Microsoft Sentinel Analytics can help the SecOps team identify and stop cyber attacks. In this module, you will: Explain the importance of Microsoft Sentinel Analytics. Explain different types of analytics rules. Create rules from templates. Create new analytics rules and queries using the analytics rule wizard. Manage rules with modifications. Module 44: Automation in Microsoft Sentinel By the end of this module, you can use automation rules in Microsoft Sentinel to automate incident management. After completing this module, you'll be able to: Explain automation options in Microsoft Sentinel Create automation rules in Microsoft Sentinel Module 45: Security Incident Management in Microsoft Sentinel Learn about security incidents, incident evidence and entities, incident management, and how to use Microsoft Sentinel to handle incidents. In this module, you will: Learn about security incidents and Microsoft Sentinel incident management. Explore Microsoft Sentinel incident evidence and entities. Use Microsoft Sentinel to investigate security incidents and manage incident resolution. Module 46: Identify threats with Behavioral Analytics Learn how to use entity behavior analytics in Microsoft Sentinel to identify threats inside your organization. Upon completion of this module, you'll be able to: Explain User and Entity Behavior Analytics in Azure Sentinel Explore entities in Microsoft Sentinel Module 47: Data normalization in Microsoft Sentinel By the end of this module, you'll be able to use ASIM parsers to identify threats inside your organization. After completing this module, you will be able to: Use ASIM Parsers Create ASIM Parser Create parameterized KQL functions Module 48: Query, visualize, and monitor data in Microsoft Sentinel This module describes how to query, visualize, and monitor data in Microsoft Sentinel. In this module, you will: Visualize security data using Microsoft Sentinel Workbooks. Understand how queries work. Explore workbook capabilities. Create a Microsoft Sentinel Workbook. Module 49: Manage content in Microsoft Sentinel By the end of this module, you'll be able to manage content in Microsoft Sentinel. After completing this module, you'll be able to: Install a content hub solution in Microsoft Sentinel Connect a GitHub repository to Microsoft Sentinel Module 50: Explain threat-hunting concepts in Microsoft Sentinel Learn the threat-hunting process in Microsoft Sentinel. Upon completion of this module, the learner will be able to: Describe threat-hunting concepts for use with Microsoft Sentinel Define a threat-hunting hypothesis for use in Microsoft Sentinel Module 51: Threat hunting with Microsoft Sentinel In this module, you'll learn to identify threat behaviors using Microsoft Sentinel queries proactively. You'll also learn to use bookmarks and livestreams to hunt threats. In this module, you will: Use queries to hunt for threats. Save key findings with bookmarks. Observe threats over time with livestream Module 52: Use Search jobs in Microsoft Sentinel You can search across long periods in large datasets using a search job in Microsoft Sentinel. After completing this module, you'll be able to: Use Search Jobs in Microsoft Sentinel Restore archive logs in Microsoft Sentinel Module 53: Hunt for threats using notebooks in Microsoft Sentinel Learn how to use notebooks in Microsoft Sentinel for advanced hunting. Upon completion of this module, the learner will be able to: Explore API libraries for advanced threat hunting in Microsoft Sentinel Describe notebooks in Microsoft Sentinel Create and use notebooks in Microsoft Sentinel Show more