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Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman

Research Article

The Rising Tide of AI-Driven Cyber Threats: Challenges and Countermeasures

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  • @INPROCEEDINGS{10.4108/eai.1-5-2025.2361370,
        author={Sondos  Ahmed Shwikat and Ghaniya  Al Hadhrami and Raqiya Salim  Al Mamari},
        title={The Rising Tide of AI-Driven Cyber Threats: Challenges and Countermeasures},
        proceedings={Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman},
        publisher={EAI},
        proceedings_a={MECSRC},
        year={2026},
        month={3},
        keywords={artificial intelligence cybersecurity ai-driven attacks defensive ai systems adversarial threats},
        doi={10.4108/eai.1-5-2025.2361370}
    }
    
  • Sondos Ahmed Shwikat
    Ghaniya Al Hadhrami
    Raqiya Salim Al Mamari
    Year: 2026
    The Rising Tide of AI-Driven Cyber Threats: Challenges and Countermeasures
    MECSRC
    EAI
    DOI: 10.4108/eai.1-5-2025.2361370
Sondos Ahmed Shwikat1, Ghaniya Al Hadhrami1,*, Raqiya Salim Al Mamari1
  • 1: Middle East College, Muscat, Oman
*Contact email: ghaniya@mec.edu.om

Abstract

The integration of Artificial Intelligence (AI) into cybersecurity poses complex challenges. On one hand, AI enhances defensive systems by enabling them to detect and respond to threats with unparalleled speed and precision. On the other hand, it equips adversaries with advanced tools to conduct increasingly sophisticated cyber-attacks. This paper explores the evolving landscape where AI serves both as a weapon and a shield in the digital realm. Drawing on recent studies, the paper reviews various types of AI-driven cyber threats, including automated phishing, intelligent malware, and data poisoning.

Keywords
artificial intelligence, cybersecurity, ai-driven attacks, defensive ai systems, adversarial threats
Published
2026-03-18
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-5-2025.2361370
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