Chief AI & Cyber Security Risk Officer
Artificial intelligence is driving innovation in companies at a massive pace – but at the same time, new, often underestimated cyber and liability risks are emerging. With regulations such as the EU AI Act, NIS-2, and the Cyber Resilience Act, AI security is becoming a corporate obligation and a management task. The Chief AI Cyber Security Risk Officer training program empowers specialists and managers to systematically identify, assess, and effectively manage these risks. The focus is on integrating technological, regulatory, and organizational requirements and translating them into robust decision-making criteria. This ensures that AI can be used not only innovatively, but also securely and in compliance with regulations.
Practical lecturer
consistently combines AI innovation and information security
A lecturer with a practical approach who consistently combines AI innovation and information security.
Professional Expertise & Background:
As Head of Product Cyber Security and AI Software Development at a leading global technology company, he is responsible for international security architectures at the intersection of AI, software, OT, and global regulations. Previously, he held senior positions in security architecture and information security risk management.
Transfer into practice:
In addition to his operational management role, he is active as an advisor and mentor. He possesses the valuable ability to assess AI risks realistically and without hype. Our lecturer supports specialists and managers in effectively and efficiently integrating regulatory requirements into business practice.
His focus with us:
Making AI-powered cybersecurity risk management tangible. Participants benefit from his experience in thoroughly analyzing cybersecurity risks, implementing regulatory requirements in a lean manner, and learning to act as a competent interface between technology, management, and regulation.
Secure your place now
If you would like to participate in the next course, you can register for the training program now.
Program & process
What you will learn and how to apply it
Learning Objectives
Understanding regulatory requirements: You will gain a solid understanding of key regulations such as the EU AI Act, NIS-2, and the Cyber Resilience Act, and their significance for the use of AI in business.
Recognizing AI-specific threats: You will learn to systematically identify and classify new attack vectors such as prompt injection, data poisoning, and model evasion.
Assessing cybersecurity risks: You will be able to create a practical risk analysis for AI systems based on established standards.
Applying risk management: You will apply cybersecurity risk management in a structured manner to the entire AI lifecycle.
Reporting in a management-relevant way: You will be able to present risks clearly and communicate them as C-level reports.
Methodology
Online live sessions: Introduction to content, structure, and learning objectives with direct exchange and Q&A.
Web-based self-learning: Independent work through the modules with in-depth content and practical examples.
Practical risk analysis: Independent creation and presentation of a risk analysis, including feedback.
Coaching & Pitch Formats: Presentation of results with targeted expert feedback.
In-person Workshop: Transfer of theory into practice through a collaborative case study and group work.
Cancellation policy
If you cancel 7 days or less before the course begins, 50% of the course fee is due.
If you cancel 3 days or less before the course begins, or if you fail to attend, the full course fee (100%) will be charged.
FAQ: The most important questions
What is the goal of the further training?
The training enables participants to systematically identify, assess and manage AI-specific cyber and liability risks in accordance with regulatory requirements such as the EU AI Act, NIS-2 and the Cyber Resilience Act.
What added value will I gain after completion?
Upon completion, you will be able to thoroughly analyze AI risks, implement regulatory requirements, and act as a competent interface between technology, management, and regulation.
Who is the program suitable for?
The program is aimed at specialists and managers from IT, cyber security, risk management, compliance and management who are responsible or will assume responsibility for the use or security of AI systems.
What prior knowledge is expected?
Basic IT or OT knowledge and a fundamental understanding of Information Security Risk Management are helpful. Knowledge of ISO 31000 or ISO 27005 is advantageous, but not mandatory.
How is the training structured?
The program combines online live sessions, web-based self-learning, a final knowledge test, coaching and pitch formats, and a full-day in-person workshop for practical application.
Is there an exam or proof of achievement?
The examination consists of a written multiple-choice exam and the presentation and discussion of a self-developed risk analysis.
How practical is the program?
Highly practical: Participants develop their own risk analysis, receive targeted feedback, and directly apply the content to practice during the in-person session using a case study.
