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The rapid evolution of technology, characterized by the 4th Industrial Revolution, has reshaped the cybersecurity landscape. This paper explores the implementation of Generative Artificial Intelligence in the context of cybersecurity, highlighting their applications in data analysis procedures and automatic control systems. By integrating Machine Learning for real-time detection and Generative Artificial Intelligence for simulating advanced attack scenarios, we can detect cyberattacks at an early stage and minimize impact on system functionality. We conclude by discussing the implications for the future of cybersecurity and the anticipated dominance of AI-driven solutions by 2030.

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Cybersecurity 2030: The Synergy Between Machine Learning and Generative Artificial Intelligence

  • 会议论文

  • 发表日期：

    2026年

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  • Mário Marques da Silva,
  • Fernando Correia,
  • Héctor Dave Orrillo Ascama,
  • Laercio Cruvinel Júnior,
  • Guilherme Lopes Fernandes,
  • Tomás Viana,
  • Afonso Frasquilho

摘要

The rapid evolution of technology, characterized by the 4th Industrial Revolution, has reshaped the cybersecurity landscape. This paper explores the implementation of Generative Artificial Intelligence in the context of cybersecurity, highlighting their applications in data analysis procedures and automatic control systems. By integrating Machine Learning for real-time detection and Generative Artificial Intelligence for simulating advanced attack scenarios, we can detect cyberattacks at an early stage and minimize impact on system functionality. We conclude by discussing the implications for the future of cybersecurity and the anticipated dominance of AI-driven solutions by 2030.