Cyber Security with SIEM Automation

Course overview

Cyber Security with SIEM Automation 1. Introduction to Cyber Security and SIEM Systems: Definition and importance of Cyber Security, overview of SIEM systems and their functionality, important standards and compliance requirements 2. SIEM Data Sources and Log Management: Identification and integration of data sources, logging and management of logs, best practices for log analysis 3. Automation of SIEM Processes: Introduction to automation tools in the SIEM field, workflows for automated alerting and response, use of scripting for process automation 4. Threat Detection and Incident Response: Methods for threat detection in SIEM, development of an incident response plan, case studies of successful incident response 5. Advanced SIEM Analytics and Machine Learning: Introduction to machine learning for Cyber Security, application of anomaly detection in SIEM, advanced analytical techniques 6. KPI Development and Success Measurement in SIEM: Identification of relevant KPIs for Cyber Security, methods for measuring the success of SIEM measures, continuous improvement through KPI analysis 7. Practical SIEM Project and Case Studies: Development of your own SIEM project, presentation of case studies from practice, feedback and discussion of project approaches 8. Future Trends in Cyber Security and SIEM: Current trends and developments in Cyber Security, outlook on future technologies in SIEM, strategies for adapting to future challenges

Upcoming dates

• 2026-09-17T22:00:00.000Z · 2027-05-06T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-17T22:00:00.000Z · 2027-11-25T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-17T22:00:00.000Z · 2027-05-06T22:00:00.000Z · München · Combined Learning
• 2026-09-17T22:00:00.000Z · 2027-11-25T23:00:00.000Z · München · Combined Learning
• 2026-10-27T23:00:00.000Z · 2027-06-15T22:00:00.000Z · Virtuelles Klassenzimmer