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Research Paper Volume 8 Issue 3 1764 - 1778 May 26, 2025

Artificial Intelligence in the Cyber Battlefield: Legal Challenges in Liability, Attribution, and Forensic Evidence

Lead author · Corresponding
Praveen Arya
LL.M. Student at IILM University, Greater Noida, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.119792
Abstract

Artificial Intelligence (AI) is rapidly reshaping the nature and intensity of cyber threats, enabling attackers to launch autonomous, adaptive, and anonymised digital assaults across jurisdictions. The rise of intelligent malware, algorithmic disinformation, and self-evolving cyber intrusions has introduced unprecedented complexity into legal doctrines of attribution, liability, and evidence. This paper critically examines the legal challenges emerging from the use of AI in cyberwarfare, particularly in the Indian context. It explores whether traditional principles of tort law and statutory cyber regulation are equipped to handle scenarios where harm is caused by autonomous systems rather than human actors. The evidentiary and forensic difficulties in identifying perpetrators, preserving digital integrity, and establishing intent in such cases are analysed in light of existing laws such as the Information Technology Act, 2000 and the Indian Evidence Act, 1872. Through doctrinal study, real-world illustrations, and comparative analysis with international frameworks including the Tallinn Manual, the EU AI Act, and United States cybersecurity policy, this research proposes reforms in legal structure, evidentiary standards, and institutional architecture. It concludes that India’s preparedness for AI-enabled cyber warfare remains doctrinally underdeveloped and institutionally fragmented, necessitating urgent legal innovation and forensic modernisation to uphold digital sovereignty and the rule of law in the algorithmic era.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 3, Page 1764 - 1778
DOI: https://doij.org/10.10000/IJLMH.119792
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CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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