Beyond the Balance Sheet: Cyber Law & Forensic Audit through the NFRA Lens

  • Khush Dalbir and Dhawal Shankar Srivastava
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  • Khush Dalbir

    LL.M (Cyber Law) Student at IILM University, Greater Noida, India

  • Dhawal Shankar Srivastava

    Assistant Professor at School of Law, IILM University, Greater Noida, India

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Abstract

Digital accounting fraud increasingly exploits code centric vulnerabilities—ledger tampering, bot generated invoices, deep fake documentation and ransomware—to outpace conventional audit defences. This article examines how India’s National Financial Reporting Authority (NFRA) can integrate forensic audit analytics with cyber law enforcement to address this threat. Employing doctrinal and comparative analysis, it (i) traces the technological vectors that enable financial statement manipulation; (ii) evaluates the statutory framework under the Companies Act 2013, the amended Information Technology Act 2000 and NFRA Rules 2018; (iii) reviews pivotal Indian and foreign case law; and (iv) benchmarks India’s approach against the U.S. Sarbanes Oxley model, EU Audit Regulation 537/2014 and United Nations Convention against Corruption (UNCAC) mandates. The study identifies key enforcement gaps—data localisation frictions, limited cyber forensic capacity and procedural delays—and proposes a reform agenda that includes key escrow legislation, AI driven anomaly detection, mandatory Cyber Controls Assurance Reports and fast track e fraud benches. By advocating a convergence regime that couples continuous controls monitoring with cross border evidence protocols, the paper offers a blueprint for bolstering audit reliability and investor confidence in India’s aspirational US$ 5 trillion digital economy.

Keywords

  • Digital Accounting Fraud
  • Forensic Audit Analytics
  • Cyber Law Enforcement
  • Corporate Fraud
  • Artificial Intelligence

Type

Research Paper

Information

International Journal of Law Management and Humanities, Volume 8, Issue 3, Page 904 - 915

DOI: https://doij.org/10.10000/IJLMH.119765

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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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