International Council for Education, Research and Training


Ganapathy, Venkatasubramanian

Faculty in Auditing Department,

Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI), Chennai, Tamil Nadu, Bharat


As organizations increasingly embrace digital transformation and interconnected ecosystems, the need for effective auditing mechanisms becomes paramount. This research paper delves into the emerging paradigm of collaborative auditing within osmotic environments, exploring both the opportunities and challenges associated with this novel approach. Osmotic environments characterized by their permeable boundaries, allowing the seamless flow of information across diverse platforms, devices, and networks. The opportunities presented by collaborative auditing in osmotic environments are manifold. By leveraging collective intelligence and distributed resources, organizations can achieve more comprehensive and real-time audits. This paper investigates how collaborative auditing fosters a synergistic relationship between human auditors and automated tools, enhancing the accuracy and efficiency of the auditing process. Moreover, the study explores the potential for cross-organizational collaboration, enabling shared insights and threat intelligence to bolster security postures across industries. However, the implementation of collaborative auditing in osmotic environments is not without its challenges. Privacy concerns arise as sensitive information traverses’ porous boundaries, demanding robust encryption and access controls. Additionally, the heterogeneity of platforms and technologies poses interoperability challenges addressed for effective collaboration. This research scrutinizes the technical, legal, and ethical hurdles associated with collaborative auditing, offering insights into strategies for mitigating these challenges. The paper also investigates the role of artificial intelligence (AI) and machine learning (ML) in enhancing collaborative auditing capabilities. It explores how these technologies can facilitate anomaly detection, predictive analysis, and automated risk assessment in real-time. The study delves into the ethical considerations surrounding the use of AI in auditing and proposes frameworks for responsible and transparent AI-driven auditing processes. Furthermore, the research examines the human factor in collaborative auditing, emphasizing the importance of training and awareness programs for auditors to adapt to this evolving paradigm. It explores how human-machine collaboration optimized to leverage the strengths of both, fostering a symbiotic relationship that maximizes the effectiveness of auditing processes. In conclusion, this research paper provides a comprehensive analysis of collaborative auditing in osmotic environments, shedding light on the transformative potential of this approach for organizations navigating the complexities of modern interconnected landscapes. By embracing collaborative auditing, organizations can harness the collective intelligence of distributed networks, fortify their cybersecurity postures, and navigate the challenges inherent in osmotic environments. As technology continues to advance, collaborative auditing emerges as a pivotal strategy to ensure the integrity, security, and compliance of digital ecosystems.

Keywords: Osmotic computing, Collaborative Auditing, Encryption and access control, Cyber Security, Artificial Intelligence (AI), Machine Learning (ML).

Impact Statement

The impact statement on “collaborative auditing in osmotic computing environment: opportunities and challenges” underscores the crucial role of cooperation and transparency in ensuring the integrity and security of data within osmotic computing frameworks. By fostering collaborative auditing practices, this initiative not only enhances accountability but also promotes trust among stakeholders in decentralized computing ecosystems. It presents an opportunity to leverage collective expertise and resources to address emerging challenges such as data privacy, verifiability, and regulatory compliance. Moreover, the emphasis on collaboration cultivates a culture of shared responsibility, empowering organizations to adapt to dynamic technological landscapes effectively. However, this approach also brings forth challenges, including the need for standardized protocols, robust authentication mechanisms, and mechanisms for resolving conflicts in distributed environments. Overall, the impact statement highlights the transformative potential of collaborative auditing in shaping the future of osmotic computing while acknowledging the complexities involved in its implementation.

About Author

Mr. Venkatasubramanian Ganapathy, M.Phil., B.Ed., M. Com, D.P.C.S. is a faculty in Auditing Department, Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI), Chennai, Tamil Nadu, Bharat. He has 18+ years’ academic experience and 9 years corporate experience. He presented    six papers in International Conference and one paper in National Conference. He participated 10 National Conferences, 7 International Conferences, 260 National Webinars, and 341 International Webinars. His area of interest are Auditing, Finance and Accounting, Taxation, AI, ML, DL, Cloud Computing, Osmotic Computing, Blockchain Technology, Big Data Analytics, Python, RDBMS, Serverless Computing, Forensic Auditing, Cyber Security etc., He received 12 International Awards. His focus on implementation of latest technologies in his field. 


  1. Osmotic Computing Laboratory.

  2. ACM Digital Library.

  3. Auditboard.

  4. Institute of Electrical and Electronics Engineers. Xplore.

  5. A publication of – Internal auditor.

  6. Ganapathy, V. (2024). Recent advances and applications of deep learning (DL) in the accounting profession. Edumania-An International Multidisciplinary Journal, 02(1), 77–104.

  7. Ganapathy, V. (2023). AI in auditing: A comprehensive review of applications, benefits and challenges. Shodh Sari-An International Multidisciplinary Journal, 02(4), 328–343.

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