The Dual Role of Artificial Intelligence in Cybersecurity: Enhancing Defense and Navigating Challenges

Authors

  • Muhammad Ismaeel Khan Student, Department of Computer Science and Technology, Washington University of Science and Technology, Washington, USA Author
  • Aftab Arif Student, Department of Computer Science and Technology, Washington University of Science and Technology, Washington, USA Author
  • Ali Raza A Khan Student , Department of Computer Science and Technology, The Virginia Institute of Science and Technology, Virginia, USA Author
  • Nadeem Anjum Professor, Faculty of Computing Capital University of Science Technology , Islamabad , Pakistan Author
  • Haroon Arif Student, Department of Cyber Security, Illinois Institute of Technology, Chicago, USA Author

Keywords:

Artificial Intelligence (AI), Cybersecurity, Threat Detection, Machine Learning, Adversarial AI

Abstract

In the rapidly evolving digital landscape, cyberattacks are becoming increasingly sophisticated, posing significant threats to organizations and individuals worldwide. Artificial Intelligence (AI) has emerged as a transformative tool in cybersecurity, offering advanced capabilities to detect, prevent, and mitigate these attacks. This article explores the integration of AI into cybersecurity frameworks, emphasizing its role in identifying anomalies, predicting potential threats, and automating response mechanisms. By leveraging machine learning algorithms and data-driven insights, AI enhances the speed and accuracy of threat detection, effectively combating challenges posed by modern cyberattacks. However, the adoption of AI also introduces new complexities, such as adversarial AI and ethical considerations. This paper delves into the dual nature of AI in cybersecurity, providing a comprehensive overview of its benefits, challenges, and future potential in safeguarding digital ecosystems against ever-evolving cyber threats.

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Published

2025-02-10

Issue

Section

Articles