Home / Volume 7, Issue 6 / AI-Powered Cybercrime Investigations under BNS Open access · CC BY-NC 4.0
Research Paper Volume 7 Issue 6 1479 - 1498 December 10, 2024

AI-Powered Cybercrime Investigations under BNS

Lead author · Corresponding
Anumodan Tiwari
Student at UILS, Chandigarh University, Mohali, Punjab, India
Download PDF Full text DOIhttps://doij.org/10.10000/IJLMH.118664
Abstract

The Bharatiya Nyaya Sanhita (BNS) introduces a forward-thinking approach to modernizing India’s criminal justice system but leaves room for significant advancements in addressing cybercrimes. While its provisions recognize the importance of technology in combating digital offenses like misinformation and hate speech, they lack specific strategies for leveraging Artificial Intelligence (AI) in these investigations. This paper explores the integration of AI tools within the BNS framework to enhance cybercrime detection, evidence collection, and prosecution. By employing AI-driven models, law enforcement can monitor digital platforms in real time, automate evidence collection processes, and ensure compliance with the Digital Personal Data Protection Act, 2023. The study also examines ethical concerns, including data privacy and algorithmic bias, emphasizing the need for transparent and accountable AI deployment. Through case studies and comparative analyses of global best practices, the paper proposes a comprehensive framework for incorporating AI into cybercrime investigations under the BNS. This research aims to equip India’s justice system with advanced capabilities to address the complexities of cybercrime, ensuring both efficiency and fairness.

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Research Paper
Information
International Journal of Law Management and Humanities, Volume 7, Issue 6, Page 1479 - 1498
DOI: https://doij.org/10.10000/IJLMH.118664
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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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