Cyber Security - Threat Analysis and Defense

Course overview

This intensive training focuses on Cyber Security from an analytical perspective: the threat analysis of systems and networks, as well as the derived planning of defense measures. Your competencies Completely assess the attack surfaces of a system Model and evaluate attack paths in a threat analysis Prioritize threats based on likelihood of occurrence and potential damage Assign preventive, detection, and reactive defense measures Verify the effectiveness of implemented measures Threat Analysis Attacker groups, motives, and typical approaches Threat modeling along trust boundaries Situation report from public alerts and security notices Defense Hardening of systems and reduction of attack surfaces Detection mechanisms for known attack patterns Combination of technical and organizational protective measures From Analysis to Action Catalog of measures derived from the results of the threat analysis Residual risks and their documentation Repetition of the analysis when changes are made to systems Application in Professional Life Conduct a threat analysis before introducing a new service Transfer current alerts to your own infrastructure Justify defense measures to IT management and specialist departments Professional Fields Cyber Security in security teams of companies and authorities Threat analysis for operators of large networks and data centers The securing of cloud networks is covered by the offering "Cyber Security and Cloud Networks", while types of attacks and vulnerability management are overviewed in the offering "Cybersecurity".

Upcoming dates

• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Aachen · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Zwickau · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Würzburg · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Wuppertal · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Witten · Combined Learning