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Why AI and Security?

In: Understanding AI in Cybersecurity and Secure AI

Author

Listed:
  • Dilli Prasad Sharma

    (University of Toronto)

  • Arash Habibi Lashkari

    (York University)

  • Mahdi Daghmehchi Firoozjaei

    (MacEwan University)

  • Samaneh Mahdavifar

    (McGill University)

  • Pulei Xiong

    (National Research Council of Canada)

Abstract

Artificial Intelligence (AI) has become an essential component of modern cybersecurity, offering automation, adaptability, and advanced threat detection to counter evolving cyber threats. This chapter explores the role of AI in cybersecurity, highlighting its impact on threat detection, intrusion prevention, and adaptive defense mechanisms. It examines the evolving cyber threat landscape, including phishing, ransomware, extortion hacks, and AI-powered attacks, while also discussing threat predictions for 2024, such as LLM-based attacks, insider threats, and supply chain vulnerabilities. Additionally, it analyzes cyber attackers’ motivations and the application of machine learning, deep learning, and generative AI in cybersecurity. The chapter concludes by addressing AI security risks, including data poisoning, adversarial attacks, and model theft, emphasizing the importance of secure AI development and continuous monitoring.

Suggested Citation

  • Dilli Prasad Sharma & Arash Habibi Lashkari & Mahdi Daghmehchi Firoozjaei & Samaneh Mahdavifar & Pulei Xiong, 2025. "Why AI and Security?," Progress in IS, in: Understanding AI in Cybersecurity and Secure AI, chapter 0, pages 3-13, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-91524-6_1
    DOI: 10.1007/978-3-031-91524-6_1
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