Cybersecurity and Digital Innovation
Security Automation and Orchestration Powered by AI
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About this program
Conventional manual cybersecurity methods are insufficient to keep pace with the rapidly evolving threat landscape. Utilizing AI-powered automation and orchestration enables security teams to identify, assess, and react to attacks instantly, enhancing operational efficiency while minimizing human errors.
This AI-Powered Security Automation and Orchestration Training Course examines how artificial intelligence, machine learning, and SOAR (Security Orchestration, Automation, and Response) technologies improve security operations. Attendees will learn how to embed AI into SOC processes, automate incident management, and coordinate security tools throughout the organization for a unified defense approach.
Through practical labs, real-world case studies, and SOC simulation exercises, participants will acquire hands-on skills to implement AI-driven automation, resulting in more robust and faster cybersecurity defenses.
Course benefits
- Leverage AI technologies to automate threat detection and mitigation.
- Enhance SOC productivity through orchestration frameworks.
- Accelerate response times to cybersecurity events.
- Seamlessly integrate AI with SIEM and SOAR systems.
- Boost overall organizational cyber resilience.
Key outcomes
- Understand AI applications in security automation.
- Deploy SOAR platforms for coordinated orchestration and incident response.
- Incorporate AI within SIEM and SOC workflows.
- Automate routine security processes.
- Create AI-based incident response playbooks.
- Evaluate case studies focused on automated security operations.
- Formulate strategies to achieve AI-enabled cyber resilience.
Who should attend
- Security Operations Center (SOC) analysts and cybersecurity engineers.
- IT and network security managers.
- Cyber defense and incident response professionals.
- Security architects and automation experts.
Course outline
Unit 1: Fundamentals of AI in Security Automation
- Rationale for employing automation in cybersecurity.
- The impact of AI on SOC productivity.
- Introduction to SOAR technologies.
- Practical examples demonstrating AI applications.
Unit 2: SOAR Platforms and Orchestration Architectures
- Essential elements of SOAR systems.
- Workflow and playbook automation techniques.
- Tool integration within SOC processes.
- Practical exercise: setting up a SOAR workflow.
Unit 3: Integrating AI with SIEM and Monitoring Systems
- Augmenting SIEM through AI-based analytics.
- Techniques for log correlation and anomaly identification.
- AI-driven real-time monitoring solutions.
- Interactive SIEM and AI laboratory session.
Unit 4: Automated Incident Handling and Recovery Procedures
- Creating playbooks for incident response.
- Automation of routine SOC operations.
- Threat containment and mitigation powered by AI.
- Scenario exercise: automated SOC incident response.
Unit 5: Developing Cyber Resilience with AI Capabilities
- Management of AI-enhanced security frameworks.
- Regulatory compliance in security automation.
- Emerging directions in AI and SOAR technologies.
- Crafting robust automated defense frameworks.