Unmasking Vulnerabilities: AI-Powered Cybersecurity Threats and Their Impact on National Security

Exploring the Dual Role of AI in Modern Cybersecurity- A Threat and a Shield

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DOI:

https://doi.org/10.63084/cognexus.v1i01.178

Keywords:

Artificial Intelligence, Cybersecurity, AI-Powered Cyberattacks, Predictive Threat Modeling

Abstract

Artificial intelligence (AI) is redefining the cybersecurity world as a force for both a strong defense and an ever more sophisticated attack. This article critically examines AI with respect to the dual role it serves regarding recent breaches, AI’s development as a tool for developing AI powered threats, and advancing AI powered defensive systems. Increasing reliance on AI driven tools by cybercriminals means high profile incidents like the Microsoft breach will continue. AI powered defense mechanisms, like behavioral analytics, predictive modeling, and automated response to incident, are increasing their utility as weapons against risks at the same time. AI is a dual use technology with ethical and practical challenges such as accessibility of malicious actors, accountability of implementation and widening gap between the resource rich and resource poor organizations. The article emphasizes the importance of doing global collaboration, additive AI on zero trust architecture and the regulations around responsible innovation. In this work, we provide a critical analysis on AI’s abilities and the limitations it presents; highlighting the need to use AI responsibly and accordingly in the case of such risks embedded in the AI itself. To achieve it, governments, organizations and developers all need to work together to create adaptable systems that will navigate through continuously changing threat landscapes.

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Published

2025-01-31

How to Cite

Ibitoye, J. S., & Ayobami, F. E. (2025). Unmasking Vulnerabilities: AI-Powered Cybersecurity Threats and Their Impact on National Security: Exploring the Dual Role of AI in Modern Cybersecurity- A Threat and a Shield. CogNexus, 1(01), 311–326. https://doi.org/10.63084/cognexus.v1i01.178

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Articles