Azure Sentinel Course Overview

Azure Sentinel Course Overview

The Azure Sentinel course is designed to equip learners with comprehensive knowledge about Microsoft's cloud-native Security Information and Event Management (SIEM) solution, Microsoft Azure Sentinel. This course will take participants through the core aspects of Azure Sentinel, starting from data collection to threat detection, investigation, and response.

In Phase 1: Collect, learners will delve into Data ingestion, understanding Azure Analytics, and the fundamentals of Microsoft 365 Sentinel. They will compare traditional SIEMs with cloud-native solutions and learn how to visualize and query logs using the Kusto Query Language (KQL).

Phase 2: Detect focuses on identifying threats through Correlation rules and Custom detections, highlighting real-time cloud use cases and advanced Threat hunting techniques.

In Phase 3: Investigate, students will learn about Threat investigation methods and utilize graphical tools to analyze incidents.

Lastly, Phase 4: Respond introduces Security Orchestration, Automation, and Response (SOAR) concepts, where learners will create security playbooks and automate threat responses using Logic App Designer.

Overall, this course will provide learners with the skills needed to effectively use Azure Sentinel for enhancing an organization's security posture.

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Koenig's Unique Offerings

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Course Prerequisites

To ensure our learners can fully benefit from the Azure Sentinel course and understand the intricacies of Azure's security information and event management (SIEM) and security orchestration automated response (SOAR) capabilities, the following minimum prerequisites are recommended:


  • Basic understanding of cloud computing concepts, particularly Microsoft Azure services.
  • Familiarity with fundamental security principles and common cybersecurity threats.
  • Experience with Windows and Linux operating systems.
  • Knowledge of network concepts, including firewalls, network protocols, and common network services.
  • Ability to use command-line interface (CLI) tools and PowerShell scripting.
  • Basic understanding of data querying and analytics, with some experience in SQL or similar query languages.
  • Awareness of SIEM concepts and their role in security operations.

While prior experience with Azure Sentinel is not a requirement, it is helpful if learners have:


  • Previous exposure to any SIEM tool, whether it is a traditional on-premises solution or a cloud-native service.
  • Experience with log analysis and interpretation.

These prerequisites are designed to ensure a foundational level of knowledge that will allow learners to engage with the course content effectively, without feeling overwhelmed. We encourage those who may not meet all these prerequisites to take preliminary courses or familiarize themselves with these concepts to ensure a successful learning experience.


Target Audience for Azure Sentinel

Azure Sentinel course by Koenig Solutions offers comprehensive training on leveraging Microsoft's cloud-native SIEM for enhanced security operations.


Target audience for the Azure Sentinel course includes:


  • IT Security Professionals
  • Security Analysts
  • Security Engineers
  • Security Architects
  • Incident Responders
  • System Administrators managing security solutions
  • Cloud Security Specialists
  • Cybersecurity Consultants
  • IT Professionals looking to specialize in security operations
  • Network Administrators focusing on security
  • Threat Intelligence Analysts
  • Compliance Officers dealing with security frameworks
  • SOC (Security Operations Center) staff
  • DevOps and DevSecOps Professionals dealing with security automation
  • CTOs and CISOs looking to understand Azure Sentinel's capabilities for organizational security
  • IT Managers and Directors responsible for security strategy and implementation
  • Professionals seeking to learn about modern SIEM solutions in the cloud
  • Technical Auditors and Forensic Specialists interested in cloud security and incident investigations


Learning Objectives - What you will Learn in this Azure Sentinel?

Introduction to the Azure Sentinel Course Learning Outcomes:

Gain expertise in Azure Sentinel, from data collection to threat response, through understanding SIEM concepts, KQL, threat detection, investigation, and automation.

Learning Objectives and Outcomes:

  1. Understand the fundamentals of Azure Analytics and its role in security information management.
  2. Compare traditional SIEM with Azure Sentinel to appreciate the benefits of cloud-native SIEM solutions.
  3. Learn the phases of Azure Sentinel operation, focusing on efficient data collection and management.
  4. Master the Kusto Query Language (KQL) for writing simple to advanced queries to analyze security data.
  5. Develop skills in creating, customizing, and managing correlation rules for accurate threat detection.
  6. Explore real-world use cases to understand user behavior analytics and cloud-specific threat scenarios.
  7. Engage in proactive threat hunting using Azure Sentinel notebooks and understand the lifecycle of threat hunting.
  8. Conduct in-depth investigations using Azure Sentinel tools, including the investigation graph for incident analysis.
  9. Create and manage Security Playbooks and automated threat responses using Azure Logic Apps.
  10. Gain hands-on experience with SOAR (Security Orchestration, Automation, and Response) to streamline security operations.

These outcomes equip students with the necessary skills to implement and manage Azure Sentinel effectively as part of their organization's security infrastructure.

Technical Topic Explanation

Threat investigation methods

Threat investigation methods involve techniques used to identify, analyze, and respond to security threats. Utilizing tools like Microsoft Azure Sentinel, professionals can monitor their environments in real-time, leveraging its advanced AI to detect unusual activities that might indicate a breach or attack. Azure Sentinel offers comprehensive training and certification courses that help in mastering its use at various cost points. Efficiently applying these methods ensures proactive threat management and enhances the overall security posture of an organization, leveraging Azure Sentinel’s capabilities to streamline and improve the investigative process.

Security Orchestration, Automation, and Response (SOAR)

Security Orchestration, Automation, and Response (SOAR) is a cybersecurity solution that helps organizations manage and respond to security threats efficiently. By automatically collecting and analyzing security data, SOAR allows teams to quickly identify threats, orchestrate responses, and automate repetitive tasks. This streamlined approach enhances an organization's ability to act quickly and reduces the strain on security personnel. Companies using platforms like Microsoft Azure Sentinel benefit from SOAR capabilities, integrating automated security processes and scaling their defenses effectively. This translates to lower operational costs and the potential to enhance security with further Azure Sentinel training and certification.

Logic App Designer

Logic App Designer is a tool within Microsoft Azure that allows you to automate workflows and integrate apps, data, and services. Using a visual designer, professionals can create automated processes without needing extensive coding knowledge. This tool uses a drag-and-drop interface to connect different components, making it easier to set up and manage automated tasks, ensuring data moves seamlessly between services, including emails, databases, and cloud storage. It helps in streamlining operations, reducing errors, and improving efficiency, making it a valuable asset for businesses aiming to enhance their digital transformation strategies.

Security Information and Event Management (SIEM)

Security Information and Event Management (SIEM) is a technology that provides real-time analysis and monitoring of security alerts generated by applications and network hardware. It helps organizations detect, analyze, and respond to potential security threats. Microsoft Azure Sentinel is a popular SIEM product offering advanced cloud security, analytical capabilities, and threat intelligence. Businesses can enhance their security teams’ skills and knowledge by pursuing Azure Sentinel certification, training, and courses, which are crucial for effectively managing the Azure Sentinel platform and understanding associated costs.

Data ingestion

Data ingestion is the process of collecting and importing data from various sources into a system where it can be analyzed and used for decision-making. In the context of cloud security, platforms like Microsoft Azure Sentinel efficiently handle data ingestion. This system collects massive amounts of data across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds. Azure Sentinel helps in streamlining this process, enhancing security operations efficiencies and reducing costs. Proper training and certification in Azure Sentinel can optimize the data ingestion process, allowing for better management and utilization of data.

Azure Analytics

Azure Analytics refers to the suite of tools provided by Microsoft Azure to help businesses analyze and interpret data to make informed decisions. It includes various services like Azure Synapse Analytics, which integrates big data and data warehousing, and Azure Stream Analytics for real-time data processing. Azure Analytics helps optimize business operations through advanced data insights, enables predictive analytics, and supports deep learning scenarios. It's crucial for professionals seeking to enhance their analytical capabilities, especially when incorporated with platforms like Microsoft Azure Sentinel, which provides security information and event management to protect Azure environments more effectively.

Kusto Query Language (KQL)

Kusto Query Language (KQL) is a powerful tool used primarily with Microsoft Azure, particularly Azure Sentinel, to analyze large datasets and manage data queries. Ideal for monitoring, diagnostics, and analytics, KQL supports fast data exploration and understanding through its rich command and function capabilities. Essential for professionals using Azure Sentinel, mastering KQL can greatly enhance the efficiency of cybersecurity tasks. Azure Sentinel courses and certifications focus on KQL among other skills to provide comprehensive training in effectively handling data within cloud environments, optimizing performance, and reducing costs.

Correlation rules

Correlation rules in Microsoft Azure Sentinel are used to detect complex security threats by combining data from multiple sources. These rules analyze diverse security events and logs, helping to identify hidden patterns that indicate malicious activities. Using Azure Sentinel, organizations can set up correlation rules to automate threat detection and improve response times, enhancing overall security posture. As part of its deployment, Azure Sentinel's cost-effective and scalable services integrate seamlessly, making it a viable solution for businesses seeking advanced security operations. Azure Sentinel certification and courses also provide essential training and skills development for effectively managing and optimizing these correlation rules.

Custom detections

Custom detections in Microsoft Azure Sentinel involve creating tailored rules to identify specific security threats and anomalies in your network. By leveraging Azure Sentinel, which is a scalable, cloud-native Security Information and Event Management (SIEM) solution, you can customize detection logic to fit your organization’s unique requirements. This capability enhances security monitoring and threat identification, potentially reducing the overall cost of security management. Professionals can deepen their expertise in custom detections by pursuing Azure Sentinel certification, engaging in specialized Azure Sentinel training, or enrolling in specific Azure Sentinel courses.

Threat hunting

Threat hunting is a proactive cybersecurity process where experts actively search for hidden threats that evade existing security measures. Using tools like Microsoft Azure Sentinel, a cloud-based security solution, specialists analyze networks and systems to detect and isolate sophisticated cyber threats. Historically, this process relies on combining advanced technology, skilled analysis, and continuous updates—a synergy well-served by Azure Sentinel. Continual education, e.g., Azure Sentinel training and certification, is crucial for staying ahead in threat hunting, helping organizations manage security risks economically and efficiently. Thus, professionals often seek out Azure Sentinel courses to enhance their capabilities and security posture.

Target Audience for Azure Sentinel

Azure Sentinel course by Koenig Solutions offers comprehensive training on leveraging Microsoft's cloud-native SIEM for enhanced security operations.


Target audience for the Azure Sentinel course includes:


  • IT Security Professionals
  • Security Analysts
  • Security Engineers
  • Security Architects
  • Incident Responders
  • System Administrators managing security solutions
  • Cloud Security Specialists
  • Cybersecurity Consultants
  • IT Professionals looking to specialize in security operations
  • Network Administrators focusing on security
  • Threat Intelligence Analysts
  • Compliance Officers dealing with security frameworks
  • SOC (Security Operations Center) staff
  • DevOps and DevSecOps Professionals dealing with security automation
  • CTOs and CISOs looking to understand Azure Sentinel's capabilities for organizational security
  • IT Managers and Directors responsible for security strategy and implementation
  • Professionals seeking to learn about modern SIEM solutions in the cloud
  • Technical Auditors and Forensic Specialists interested in cloud security and incident investigations


Learning Objectives - What you will Learn in this Azure Sentinel?

Introduction to the Azure Sentinel Course Learning Outcomes:

Gain expertise in Azure Sentinel, from data collection to threat response, through understanding SIEM concepts, KQL, threat detection, investigation, and automation.

Learning Objectives and Outcomes:

  1. Understand the fundamentals of Azure Analytics and its role in security information management.
  2. Compare traditional SIEM with Azure Sentinel to appreciate the benefits of cloud-native SIEM solutions.
  3. Learn the phases of Azure Sentinel operation, focusing on efficient data collection and management.
  4. Master the Kusto Query Language (KQL) for writing simple to advanced queries to analyze security data.
  5. Develop skills in creating, customizing, and managing correlation rules for accurate threat detection.
  6. Explore real-world use cases to understand user behavior analytics and cloud-specific threat scenarios.
  7. Engage in proactive threat hunting using Azure Sentinel notebooks and understand the lifecycle of threat hunting.
  8. Conduct in-depth investigations using Azure Sentinel tools, including the investigation graph for incident analysis.
  9. Create and manage Security Playbooks and automated threat responses using Azure Logic Apps.
  10. Gain hands-on experience with SOAR (Security Orchestration, Automation, and Response) to streamline security operations.

These outcomes equip students with the necessary skills to implement and manage Azure Sentinel effectively as part of their organization's security infrastructure.

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