Overview

This course aims to provide participants with a comprehensive understanding of incident response processes and workflows. The course covers various aspects of automating incident response mechanisms, including centralizing and automating operations, scaling the alert management process, and advanced topics such as correlation, impact assessments, and security use cases showcasing the end-to-end lifecycle of an incident. By the end of the course, participants will be able to effectively utilize various tools for incident response, automate the step, and enhance overall security monitoring and management. Target Audience: 1. Cybersecurity analysts: Experts that evaluate security problems, look into hacks, and react to threats. They may automate their incident response procedures with the aid of the course. 2. Individuals who are a part of the organization's incident response team and are in charge of organizing and carrying out responses to security issues. 3. Managers who supervise the organization's IT security and incident response operations and work to put automated incident response techniques in place. 4. Security Operations Centre (SOC) Analysts: SOC analysts who handle incidents, keep track of security alerts, and wish to automate incident response processes. 5. Security Engineers: Engineers interested in incorporating automation into incident response workflows and concentrating on building and implementing security solutions To be successful in this course, you should have background in: 1. Basic Cybersecurity Knowledge 2. Networking Fundamentals 3. Security Incident Fundamentals 4. Operating System Familiarity 5. Security technologies 6. Understanding security policy 7. Knowledge of Risk Management

Syllabus

Introduction to Automated Incident Response

Module 1 provides a foundational understanding of automated incident response, emphasizing its pivotal role in modern cybersecurity. Participants delve into core incident response concepts, recognizing their significance in contemporary practices. The module elucidates the critical role of automation in security operations and incident response, elucidating the seamless process flow. By the end, learners will grasp the fundamentals, enabling them to appreciate the strategic importance of automation in fortifying cybersecurity defenses and responding effectively to emerging threats.

Automated Incident Detection and Triage

In this module, get familiar with incident management tools and detection techniques. Explore the extensive features and capabilities offered by various tools, which position them as a prominent industry solution. Leveraging Threat Intelligence for Automated Triage, Data Collection, and Advanced Analysis Techniques. Learn how to implement machine learning and AI in incident triage and its basic functionality. Interact with the interface to create playbooks for automated triage and response.

Automated Incident Containment and Mitigation

Module 3, "Data Collection and Management," immerses participants in essential techniques for ingesting, organizing, and managing incidents. Through understanding of major incidents, learners gain valuable insights, fostering a culture of continuous learning. The module empowers participants to create and curate timelines of activity, facilitating ongoing process improvement. By honing skills in efficient data handling, learners are equipped to navigate incident response with precision, ensuring comprehensive incident understanding, and contributing to the enhancement of organizational cybersecurity protocols.

Incident Response Automation Tools and Future Trends

Module 4 introduces learners to the foundational skills of constructing searches, filtering, data transformation, aggregation functions, and result visualization. This knowledge forms a robust foundation for extracting valuable insights and conducting effective data analysis within automation tools. Empowered with these skills, participants are well-equipped to anticipate and adapt to future trends in cybersecurity. The module's focus on data manipulation ensuring that learners not only comprehend the essentials of data analysis but also possess the capabilities to leverage automation tools, fostering their ability to proactively address emerging challenges in the evolving landscape of cybersecurity.