Academy AI in Cybersecurity Learn AI applications in cybersecurity, risk mitigation, regulatory compliance, and practical AI tools for enhancing digital defense. Subjects that will be discussed: Artificial intelligence and its applications change the cybersecurity landscape significantly, introduce new threats, and shift existing balances, currently mostly benefiting the attacker. This course will provide you with a solid knowledge base to tackle these new challenges, covering topics from basic technology, attacker strategies, and defense methods. Course objectives Participants will learn AI applications in cybersecurity, risk mitigation strategies, regulatory compliance, and practical AI tools usage for enhancing digital defence. Interested in the course? Chat with us! In more detail, it takes you through Artificial Intelligence (AI) and Machine Learning (ML) applications in cybersecurity and provide theoretical background for understanding benefits and drawbacks of different AI technologies. You will gain insight into how your organization can use AI to improve its cybersecurity posture, how attackers may use AI to enhance existing threats, and on how to mitigate these risks as a security professional. We cover AI cybersecurity defensive use-cases for both classical ML and for Generative AI, and we present recent attacks and future possibilities for attackers using Generative AI. Part of the course will be dedicated to security of Large-Language-Models (LLM) deployments. We walk through the stages of AI value chain to identify weaknesses and help you decide where AI is an asset for you and where AI becomes a liability. The concluding segment delves into regulations such as the EU AI Act, outlining responsibilities and compliance across diverse deployment models. In addition, the course provides an optional hands-on part where security professionals can try to trick LLM models into releasing protected information via prompt injection, including advanced techniques. Master the Future of Cybersecurity with AI Chat with us about the course Empowering Through Knowledge Recent advances in AI are forcing organisations to adapt business and cybersecurity strategy. Adopting AI promises large benefits in wide business areas but opens the potential for misuse and attacks. Generative AI is changing offensive security capabilities, impacting all businesses' cybersecurity posture. Therefore, businesses need to adapt to new AI technologies, even if the business potential for implementing AI-based solutions is minimal. The course presents building blocks for current AI systems to assist decision-makers and cybersecurity practitioners in evaluating emerging systems and attacks. Learning Outcomes Participants will learn to: Understand the foundational concepts of AI and their applications in cybersecurity. Understand the benefits and drawbacks of AI technologies for enhanced threat detection, log analysis, and anomaly detection. Recognize and mitigate the risks associated with AI, especially for Generative AI and LLMs. Insight into current research to understand future cybersecurity trends Navigate the regulatory landscape across major jurisdictions, including Switzerland, the EU AI Act, and upcoming US regulations. Gain background to evaluate new AI offerings and determine cost-benefit ratio for security and business Understand cybersecurity AI-enabled tools of major cloud providers Optional hands-on part: practical examples of LLM model fine-tuning and prompt engineering from an attacker perspective. Target Group CISOs Security Engineers Security Decision Makers Course Language English / German