Microsoft Security Operations Analyst

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Overview

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.

Audience profile

The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Azure Sentinel, Azure Defender, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies.

Prerequisites
  • 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
  • Basic understanding of scripting concepts.
Delegates 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
Outline

Module 1: Mitigate threats using Microsoft Defender for Endpoint

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.

Lessons
  • 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
Module 2: Mitigate threats using Microsoft 365 Defender

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;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
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
Module 3: Mitigate threats using Azure Defender

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.

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 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.

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 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
Module 5: Configure your Azure Sentinel environment

Get started with Azure Sentinel by properly configuring the Azure Sentinel workspace. Traditional security information and event management (SIEM) sys

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Start date Location / delivery
01 Aug 2022 QA On-Line Virtual Centre, Virtual Book now
01132207150 01132207150

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