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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 12, ISSUE 1, JANUARY 2025

The Dark Side of AI: How Cybercriminals Are Weaponizing Machine Learning

Enoch Anbu Arasu Ponnuswamy

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Abstract: Generative AI is revolutionizing the way industries operate with its positive impact on patient care, claims processing, and customer service being the most recognizable. However, alongside this advancement, these is a darker side to AI that many overlook. And as technology becomes more integral to our daily lives, cybercriminals are increasingly leveraging artificial intelligence (AI) to carry out highly sophisticated attacks, posing serious risks to both individuals and organizations. Recent high-profile data breaches, such as the one involving Star Health which led to personal data of 31 million customers being compromised underscore the growing danger of this new threat landscape. In this article, we'll explore the various types of attacks being carried out by cybercriminals using AI, shedding light on the growing threats they pose.

Keywords: Artificial Intelligence (AI), cybercriminals, Generative AI, Multi-Factor Authentication (MFA).

How to Cite:

[1] Enoch Anbu Arasu Ponnuswamy, “The Dark Side of AI: How Cybercriminals Are Weaponizing Machine Learning,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.12111

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.