The AI-Driven Security Automation and Orchestration course in Budapest is designed to help professionals understand how to automate security processes and orchestrate defense systems using AI technologies.
From:
03-08-2026
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 Budapest equip cybersecurity and IT professionals with the skills to implement intelligent, automated defense systems that enhance response speed, accuracy, and efficiency. Designed for security analysts, SOC teams, IT managers, system architects, and cybersecurity engineers, these programs focus on integrating artificial intelligence and automation into security operations to streamline workflows and reduce manual intervention in threat detection and response.
Participants explore the core principles of security automation and orchestration (SAO), including automated incident response, playbook development, workflow coordination, and threat intelligence integration. The courses emphasize how AI and machine learning enhance security monitoring, accelerate decision-making, and reduce false positives by analyzing large volumes of network and system data. Through hands-on lab exercises and simulation-based training, attendees learn to deploy and configure security orchestration platforms, automate repetitive tasks, and create response frameworks that can adapt to evolving cyber threats.
These security automation training programs in Budapest also highlight operational governance and cross-team collaboration. Participants learn how to design centralized security workflows that connect multiple tools and platforms across IT, cloud systems, and endpoint environments. The curriculum addresses key topics such as zero-trust security automation, automated vulnerability management, incident escalation procedures, and alignment with compliance and reporting requirements.
Attending these training courses in Budapest provides a dynamic opportunity to learn alongside cybersecurity professionals from diverse sectors in one of Central Europe’s growing technology and innovation hubs. The environment supports rich knowledge exchange and exposure to emerging global security trends. By completing this specialization, participants will gain the expertise to lead automation initiatives, improve security response readiness, and develop intelligent defense strategies—ensuring that their organizations remain adaptive, efficient, and resilient in the face of increasingly sophisticated cyber threats.