The AI-Driven Security Automation and Orchestration course in Geneva is designed for cybersecurity professionals looking to leverage AI to automate security operations and enhance threat detection and response.
From:
04-05-2026
From:
10-08-2026
Course Overview
Traditional manual cybersecurity processes cannot keep up with today’s fast-moving threats. AI-driven automation and orchestration allow security teams to detect, analyze, and respond to attacks in real time, while improving efficiency and reducing human error.
This AI-Driven Security Automation and Orchestration Training Course explores how artificial intelligence, machine learning, and SOAR (Security Orchestration, Automation, and Response) tools enhance security operations. Participants will learn to integrate AI into SOC workflows, automate incident response, and orchestrate tools across the enterprise for seamless defense.
Through labs, case studies, and SOC simulations, participants will develop practical expertise in deploying AI-driven automation for stronger, faster cybersecurity.
Course Benefits
Automate threat detection and response using AI tools.
Strengthen SOC efficiency with orchestration frameworks.
Reduce response times to cyber incidents.
Integrate AI with SIEM and SOAR platforms.
Improve organizational cyber resilience.
Course Objectives
Explore AI applications in security automation.
Implement SOAR tools for orchestration and response.
Integrate AI into SIEM and SOC operations.
Automate repetitive security tasks.
Develop AI-driven incident response playbooks.
Analyze case studies of automated security operations.
Design a strategy for AI-enabled cyber resilience.
Training Methodology
The course blends expert-led lectures, SOC simulations, AI/SOAR labs, and practical workshops. Participants will gain hands-on experience applying automation to real-world cybersecurity challenges.
Target Audience
SOC analysts and cybersecurity engineers.
IT and network security managers.
Cyber defense and incident response teams.
Security architects and automation specialists.
Target Competencies
AI-driven security automation.
SOAR and SOC orchestration.
Automated incident response.
Integration of AI in cyber defense.
Course Outline
Unit 1: Introduction to AI in Security Automation
The case for automation in cybersecurity.
Role of AI in SOC efficiency.
Overview of SOAR platforms.
Case studies of AI in action.
Unit 2: SOAR Tools and Orchestration Frameworks
Core components of SOAR.
Automating workflows and playbooks.
Integrating tools across SOC operations.
Lab: configuring a SOAR workflow.
Unit 3: AI Integration with SIEM and Monitoring
Enhancing SIEM with AI-driven analytics.
Log correlation and anomaly detection.
Real-time monitoring with AI.
Hands-on SIEM/AI lab.
Unit 4: Automated Incident Response and Recovery
Designing incident response playbooks.
Automating repetitive SOC tasks.
AI-powered threat containment and mitigation.
Simulation: automated SOC response.
Unit 5: Building AI-Enabled Cyber Resilience
Governance of AI-driven security systems.
Compliance considerations in automation.
Future trends in AI and SOAR.
Designing resilient automated defense strategies.
Ready to accelerate your security operations with AI?
Join the AI-Driven Security Automation and Orchestration Training Course with EuroQuest International Training and master the future of cyber defense.
The AI-Driven Security Automation and Orchestration Training Courses in Geneva equip cybersecurity professionals with the advanced capabilities needed to streamline security operations, enhance threat detection efficiency, and coordinate incident response actions across complex digital environments. Designed for security analysts, SOC engineers, IT leaders, and cybersecurity strategists, these programs focus on leveraging artificial intelligence, machine learning, and automated workflows to improve the speed, accuracy, and resilience of organizational cyber defenses.
Participants gain a comprehensive understanding of security automation and orchestration, learning how intelligent systems can reduce manual workload, eliminate repetitive processes, and support proactive decision-making. The courses examine how AI-driven platforms collect and analyze security data, correlate events from multiple sources, and automatically trigger predefined response actions. Through hands-on simulations and real-time use-case exercises, attendees practice configuring automation workflows, integrating threat intelligence feeds, and designing incident response playbooks that scale across cloud, hybrid, and on-premise environments.
These security automation and orchestration training programs in Geneva also address the strategic and operational considerations required to implement AI-enabled security frameworks responsibly. Key topics include SOC optimization, tool integration, policy governance, response workflow tuning, and the balance between human oversight and automated system autonomy. Participants learn to evaluate automation readiness, manage model accuracy, reduce alert fatigue, and establish communication protocols that ensure coordinated incident response across teams.
Attending these training courses in Geneva offers professionals an opportunity to engage with leading cybersecurity experts and peers from global organizations. Geneva’s international business and technology landscape provides an ideal environment for examining cross-sector security challenges and future security innovation trends. By the end of the program, participants will be equipped to design and implement automated defense strategies, improve operational efficiency, and strengthen organizational resilience—ensuring that AI becomes a strategic asset in modern security operations rather than simply a technological upgrade.