Microsoft Security Operations Analyst Training (SC-200)

Analyse 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 organisation’s 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.

Lessons

• 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
  

• Mitigate Attacks with Microsoft 365 Defender
  

• 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 organisation

Use Azure Defender integrated with Azure Security Centre, for Azure, hybrid cloud, and on-premises workload protection and security. Learn the purpose of Azure Defender, Azure Defender's relationship to Azure Security Centre, 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.

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
  

• Deploy Azure Defender
• Mitigate Attacks with Azure Defender
  

• Describe Azure Defender features
• Explain Azure Security Centre 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

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 summarise and visualise 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.

Lessons

• Construct KQL statements for Azure Sentinel
• Analyse query results using KQL
• Build multi-table statements using KQL
• Work with data in Azure Sentinel using Kusto Query Language
  

• Construct Basic KQL Statements
• Analyse query results using KQL
• Build multi-table statements using KQL
• Work with string data using KQL statements
  

• 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
• Summarise data using KQL statements
• Render visualisations using KQL statements
• Extract data from unstructured string fields using KQL
• Extract data from structured string data using KQL
• Create Functions using KQL

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 organisation'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.

Lessons

• Introduction to Azure Sentinel
• Create and manage Azure Sentinel workspaces
• Query logs in Azure Sentinel
• Use watchlists in Azure Sentinel
• Utilise threat intelligence in Azure Sentinel
  

• Create an Azure Sentinel Workspace
• Create a Watchlist
• Create a Threat Indicator
  

• 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

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.

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
  

• Connect Microsoft services to Azure Sentinel
• Connect Windows hosts to Azure Sentinel
• Connect Linux hosts to Azure Sentinel
• Connect Threat intelligence to Azure Sentinel
  

• 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

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, visualise, and monitor data in Azure Sentinel.

Lessons

• Threat detection with Azure Sentinel analytics
• Threat response with Azure Sentinel playbooks
• Security incident management in Azure Sentinel
• Use entity behaviour analytics in Azure Sentinel
• Query, visualise, and monitor data in Azure Sentinel
  

• Create Analytical Rules
• Model Attacks to Define Rule Logic
• Mitigate Attacks using Azure Sentinel
• Create Workbooks in Azure Sentinel
  

• 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 Behaviour Analytics in Azure Sentinel
• Explore entities in Azure Sentinel
• Visualise security data using Azure Sentinel Workbooks.

In this module, you'll learn to proactively identify threat behaviours 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.

Lessons

• Threat hunting with Azure Sentinel
• Hunt for threats using notebooks in Azure Sentinel
  

• Threat Hunting in Azure Sentinel
• Threat Hunting using Notebooks
  

• 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