Azure Sentinel Deployment & Management Training Course

Course Title: Azure Sentinel Deployment & Management Training Course

Executive Summary

This intensive two-week Azure Sentinel Deployment & Management training course empowers security professionals to effectively deploy, manage, and optimize Microsoft’s cloud-native SIEM solution. Participants will gain hands-on experience in connecting data sources, creating detections, automating responses, and hunting for threats. The course covers architecture, deployment strategies, data ingestion, analytics rule creation, workbooks, playbooks, threat intelligence integration, and incident management. Through practical labs and real-world scenarios, attendees will develop the skills needed to build a robust security operations center (SOC) using Azure Sentinel. The training emphasizes best practices for configuration, optimization, and continuous improvement of Azure Sentinel deployments, ensuring organizations can proactively defend against evolving cyber threats.

Introduction

In today’s dynamic threat landscape, organizations need robust security information and event management (SIEM) solutions to detect, investigate, and respond to cyberattacks effectively. Microsoft Azure Sentinel offers a modern, cloud-native SIEM platform that leverages artificial intelligence and machine learning to enhance threat detection and incident response capabilities. This training course provides a comprehensive overview of Azure Sentinel, covering its architecture, deployment options, data integration, analytics, automation, and threat hunting capabilities. Participants will learn how to configure and manage Azure Sentinel to meet their specific security requirements, enabling them to build a proactive security posture and streamline their security operations workflows. The course emphasizes hands-on experience, allowing attendees to apply their knowledge in real-world scenarios and develop practical skills that they can immediately use in their organizations.

Course Outcomes

• Understand Azure Sentinel architecture and deployment options.
• Configure data connectors to ingest security data from various sources.
• Create and customize analytics rules to detect suspicious activities.
• Automate incident response using playbooks and logic apps.
• Conduct threat hunting using Kusto Query Language (KQL).
• Manage and investigate security incidents effectively.
• Optimize Azure Sentinel performance and security posture.

Training Methodologies

• Interactive lectures and discussions.
• Hands-on lab exercises with real-world scenarios.
• Case studies and group problem-solving.
• Live demonstrations of Azure Sentinel features.
• Q&A sessions with experienced instructors.
• Access to a dedicated Azure Sentinel environment.
• Post-training support and resources.

Benefits to Participants

• Gain in-depth knowledge of Azure Sentinel capabilities.
• Develop practical skills in deploying and managing Azure Sentinel.
• Learn how to detect and respond to cyber threats effectively.
• Enhance your career prospects in cybersecurity.
• Become proficient in Kusto Query Language (KQL).
• Improve your organization’s security posture.
• Receive a certificate of completion.

Benefits to Sending Organization

• Improved threat detection and incident response capabilities.
• Enhanced security posture and reduced risk of cyberattacks.
• Streamlined security operations workflows.
• Reduced alert fatigue through automated analysis and prioritization.
• Increased visibility into security events across the organization.
• Better compliance with security regulations and standards.
• Increased ROI on security investments.

Target Participants

• Security Engineers
• Security Analysts
• Security Architects
• SOC Analysts
• IT Professionals responsible for security
• Cloud Security Engineers
• Incident Responders

Week 1: Azure Sentinel Foundations and Data Ingestion

Module 1: Introduction to Azure Sentinel

1. Overview of SIEM and its role in cybersecurity.
2. Introduction to Azure Sentinel and its benefits.
3. Azure Sentinel architecture and components.
4. Licensing and pricing models for Azure Sentinel.
5. Setting up an Azure Sentinel workspace.
6. Navigating the Azure Sentinel portal.
7. Understanding roles and permissions in Azure Sentinel.

Module 2: Connecting Data Sources

1. Overview of data connectors in Azure Sentinel.
2. Connecting Microsoft data sources (e.g., Azure AD, Microsoft 365).
3. Connecting Common Event Format (CEF) data sources.
4. Connecting Syslog data sources.
5. Connecting custom data sources using the Log Analytics agent.
6. Troubleshooting data connection issues.
7. Managing data connector configurations.

Module 3: Log Analytics and Kusto Query Language (KQL)

1. Introduction to Log Analytics and its role in Azure Sentinel.
2. Understanding Kusto Query Language (KQL) syntax.
3. Writing basic KQL queries to retrieve data.
4. Using KQL operators for filtering, sorting, and aggregation.
5. Creating custom functions in KQL.
6. Optimizing KQL queries for performance.
7. Visualizing data using KQL charts and graphs.

Module 4: Data Enrichment and Normalization

1. Understanding the importance of data enrichment.
2. Using Azure Sentinel watchlists to enrich data.
3. Using threat intelligence feeds to enrich data.
4. Normalizing data using the Common Information Model (CIM).
5. Creating custom parsers to normalize data.
6. Validating data enrichment and normalization.
7. Managing data enrichment and normalization configurations.

Module 5: Workbooks and Visualizations

1. Introduction to Azure Sentinel workbooks.
2. Creating custom workbooks to visualize data.
3. Using pre-built workbooks for common security scenarios.
4. Adding charts, tables, and other visualizations to workbooks.
5. Parameterizing workbooks for dynamic filtering.
6. Sharing and collaborating on workbooks.
7. Customizing workbooks to meet specific requirements.

Week 2: Detection, Automation, and Threat Hunting

Module 6: Analytics Rules and Threat Detection

1. Understanding the purpose of analytics rules.
2. Creating scheduled analytics rules using KQL.
3. Creating near-real-time (NRT) analytics rules.
4. Using machine learning analytics rules.
5. Tuning analytics rules to reduce false positives.
6. Managing analytics rule configurations.
7. Troubleshooting analytics rule issues.

Module 7: Incident Management

1. Understanding the incident lifecycle.
2. Investigating incidents in Azure Sentinel.
3. Analyzing incident details and related events.
4. Assigning incidents to analysts.
5. Adding comments and notes to incidents.
6. Closing and resolving incidents.
7. Reporting on incident metrics.

Module 8: Automation and Playbooks

1. Introduction to Azure Sentinel playbooks.
2. Creating automated response playbooks using Logic Apps.
3. Using pre-built playbooks for common incident response tasks.
4. Triggering playbooks from analytics rules.
5. Adding actions to playbooks (e.g., sending emails, blocking IPs).
6. Testing and debugging playbooks.
7. Managing playbook configurations.

Module 9: Threat Intelligence Integration

1. Understanding the importance of threat intelligence.
2. Connecting threat intelligence feeds to Azure Sentinel.
3. Using threat intelligence to enrich data and detect threats.
4. Creating analytics rules based on threat intelligence indicators.
5. Managing threat intelligence configurations.
6. Troubleshooting threat intelligence integration issues.
7. Utilizing threat intelligence workbooks.

Module 10: Threat Hunting

1. Introduction to threat hunting methodologies.
2. Using KQL to proactively hunt for threats.
3. Leveraging MITRE ATT&CK framework for threat hunting.
4. Using hunting queries to identify suspicious activities.
5. Creating custom hunting queries.
6. Documenting and sharing threat hunting findings.
7. Automating threat hunting tasks.

Action Plan for Implementation

1. Identify key data sources to connect to Azure Sentinel.
2. Prioritize security use cases and create relevant analytics rules.
3. Develop automated response playbooks for common incidents.
4. Integrate threat intelligence feeds to enhance threat detection.
5. Conduct regular threat hunting exercises to proactively identify threats.
6. Monitor Azure Sentinel performance and optimize configurations.
7. Provide ongoing training and education to security personnel.