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:

  • AI and ML in cybersecurity: benefits, risks, and applications
  • Generative AI threats, defense strategies, and LLM security
  • AI regulations (EU AI Act, US laws) and compliance

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 overview

This course provides a comprehensive exploration of Artificial Intelligence (AI) and Machine Learning (ML) in cybersecurity, offering both theoretical foundations and practical insights. Participants will gain a deep understanding of the benefits and risks associated with different AI technologies and how they impact cybersecurity strategies.

You will learn how AI can enhance your organization’s security posture, how attackers leverage AI to advance threats, and how to mitigate these risks effectively. The course covers defensive AI use cases, including classical ML approaches and Generative AI applications. We will also analyze recent attacks and emerging threats posed by AI-driven offensive techniques.

A key focus will be the security of Large Language Model (LLM) deployments. By examining the AI value chain, we identify vulnerabilities and help you determine where AI serves as a valuable asset and where it may introduce security risks.

Finally, the course will explore regulatory frameworks such as the EU AI Act, providing clarity on compliance requirements and responsibilities across different AI deployment models.

Course details

  • Course objectives

    By the end of this course, participants will:

    • Understand the role of AI and ML in cybersecurity, including Generative AI threats.
    • Learn defensive strategies, risk mitigation techniques, and regulatory compliance.
    • Gain insights into securing AI systems, including LLMs and the AI value chain.
    • Evaluate AI-enabled security tools and assess new AI-driven cybersecurity risks.
    • Optionally, apply hands-on techniques to manipulate AI models from an attacker’s perspective.

  • Target group

    This course is designed for:

    • Cybersecurity professionals looking to enhance their knowledge of AI-driven threats and defense mechanisms.
    • IT security managers & decision-makers who need to understand AI’s impact on business security and compliance.
    • Risk & compliance officers dealing with AI regulations such as the EU AI Act.
    • AI practitioners & researchers interested in AI’s role in offensive and defensive cybersecurity strategies.

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