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Artificial Intelligence In Cyber Security Risk On Cloud Platforms With Reference To Indian IT Industry

 



Khushi Mogha, Fairfield Institute of Management and Technology affiliated to GGSIP University, Delhi


ABSTRACT


The rapid adoption of cloud computing has transformed the Indian IT industry by providing cost effective, scalable, and flexible digital services. At the same time, the increasing use of Artificial Intelligence (AI) in cybersecurity has significantly improved the detection and prevention of cyber threats. AI-based security systems can identify unusual activities, detect malware, and respond to cyberattacks in real time. However, the integration of AI into cloud platforms also creates several risks and challenges. These include data privacy concerns, unauthorized access, algorithmic bias, data breaches, and the possibility of AI systems being manipulated by cybercriminals. In the Indian IT sector, where large volumes of sensitive personal and business data are stored on cloud platforms, such risks may affect organizational security and consumer trust. Furthermore, compliance with legal frameworks such as the Information Technology Act, 2000, and the Digital Personal Data Protection Act, 2023, has become essential for ensuring secure cloud environments. This study examines the role of AI in strengthening cybersecurity on cloud platforms while highlighting the associated risks faced by the Indian IT industry. The paper emphasizes the need for robust legal, technical, and organizational measures to ensure secure and trustworthy cloud-based operations.


Keywords: Artificial Intelligence (AI), Cyber Security, Cloud Computing, Indian IT Industry, Data Privacy, Digital Personal Data Protection Act, 2023.



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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Licensing: 

 

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.

 

Disclaimer:

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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