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Cybersecurity And IP Protection In AI Development - Safeguarding Intellectual Property In An Era Of Increasing Cyber Threats




Lavishka Gupta & Dr. Avantika Madhesiya, Amity Law School, Amity University, Noida, Uttar Pradesh


ABSTRACT


The increasing cybersecurity dangers to AI development and their consequences for intellectual property (IP) protection are examined in this research study. It looks at how data breaches, adversarial assaults, insider threats, and cyber espionage can affect AI innovations and result in the theft, manipulation, or illegal access of proprietary AI models. The legal frameworks, national and international IP laws, and cybersecurity regulations intended to safeguard intellectual property connected to artificial intelligence are also examined in this paper. The study finds technological solutions to these problems, including blockchain, AI-driven cybersecurity, encryption, and access control mechanisms that can improve security in AI development. It also provides case studies on AI IP theft, hacking, and legal disputes, which provide information on practical risks and how to mitigate them. This study intends to offer practical suggestions for AI developers, legal experts, and legislators to enhance the protection of AI intellectual property in a time of growing cyberthreats by examining industry best practices, risk assessment models, and compliance frameworks.



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Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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