Blockchain’s Potential for Real-Time Financial Auditing: Disrupting Traditional Assurance Practices
Keywords:
Blockchain, Real-Time AssuranceAbstract
Blockchain technology holds transformative potential for the world of financial auditing, offering an opportunity to shift from traditional, retrospective assurance practices to a real-time, transparent, and immutable system of financial record-keeping. By leveraging blockchain's core attributes—decentralization, cryptographic security, and tamper-resistant records—auditors and stakeholders can immediately access up-to-date transaction records and economic statuses, enhancing trust and reducing the need for time-intensive reconciliation processes. Unlike conventional audits, which often rely on periodic snapshots and can be vulnerable to human error or manipulation, blockchain provides continuous verification of transactions, making it easier to detect anomalies or unauthorized activities in real-time. For financial institutions, blockchain’s promise of transparency and automated verification processes could significantly lower compliance costs, streamline regulatory reporting, and enhance operational efficiency. Moreover, with smart contracts, predefined compliance rules can be coded directly into transactions, reducing manual intervention and automatically enforcing adherence to regulatory standards. Despite these benefits, challenges remain—especially around data privacy, standardization, and the need for regulatory clarity. As the technology continues to evolve, many firms and auditors are exploring pilot programs to integrate blockchain into their audit processes. By addressing these hurdles, blockchain could fundamentally disrupt traditional assurance models, moving the financial industry closer to a future where audits are instantaneous, transparent, and more resilient against fraud.
Downloads
References
Rauchs, M., & Hileman, G. (2010). Global blockchain benchmarking study. Cambridge Centre for Alternative Finance, Cambridge Judge Business School, University of Cambridge.
Aboa, Y. P. J. D. (2014). Continuous Auditing: Technology Involved.
Wright, A., & De Filippi, P. (2015). Decentralized blockchain technology and the rise of lex cryptographia. Available at SSRN 2580664.
Swan, M. (2013). The quantified self: Fundamental disruption in big data science and biological discovery. Big data, 1(2), 85-99.
Gün, M. (1980). Banking and Finance.
Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchain-based accounting and assurance. Journal of information systems, 31(3), 5-21.
Cong, Y., Du, H., & Vasarhelyi, M. A. (2018). Technological disruption in accounting and auditing. Journal of emerging technologies in Accounting, 15(2), 1-10.
CGMA, C. (2018). Blockchain augmented audit–benefits and challenges for accounting professionals. The journal of theoretical accounting research, 14(1), 117-137.
Tang, X., & Kostic, N. (2017). The future of audit: Examining the opportunities and challenges stemming from the use of Big Data Analytics and Blockchain technology in audit practice.
Kursh, S. R., & Gold, N. A. (2016). Adding fintech and blockchain to your curriculum. Business Education Innovation Journal, 8(2), 6-12.
Haruna, M. A., & Abubakar, M. (2006). Precious Metal Backed Cryptocurrency in Islamic Finance. Haruna, MA & Abubakar, M.(2020).'Precious Metal Backed Cryptocurrency in Islamic Finance.'Lapai International Journal of Management and Social Sciences, Published by the Faculty of Management & Social Sciences, Ibrahim Badamasi Babangida University, Lapai, Niger State-Nigeria. ISSN, 6473.
Rahman, A. (1979). Banking and Insurance (Vol. 4). by Mocktime Publication.
Umar, A. (2003). Information Security and Auditing in the Digital Age: A Practical Managerial Perspective. nge solutions, inc.
Farroha, B. S., & Farroha, D. L. (2010, April). Enterprise systems security management: a framework for breakthrough protection. In Defense Transformation and Net-Centric Systems 2010 (Vol. 7707, pp. 170-181). SPIE.
Mead, N. R., Allen, J. H., Ardis, M., Hilburn, T. B., Kornecki, A. J., Linger, R. C., & McDonald, J. (2010). Software assurance curriculum project volume I: Master of software assurance reference curriculum.
Gade, K. R. (2018). Real-Time Analytics: Challenges and Opportunities. Innovative Computer Sciences Journal, 4(1).
Gade, K. R. (2017). Integrations: ETL vs. ELT: Comparative analysis and best practices. Innovative Computer Sciences Journal, 3(1).
Komandla, V. Transforming Financial Interactions: Best Practices for Mobile Banking App Design and Functionality to Boost User Engagement and Satisfaction.
Naresh Dulam, et al. Kubernetes Gains Traction: Orchestrating Data Workloads. Distributed Learning and Broad Applications in Scientific Research, vol. 3, May 2017, pp. 69-93
Naresh Dulam, et al. Apache Arrow: Optimizing Data Interchange in Big Data Systems. Distributed Learning and Broad Applications in Scientific Research, vol. 3, Oct. 2017, pp. 93-114
Naresh Dulam, and Venkataramana Gosukonda. Event-Driven Architectures With Apache Kafka and Kubernetes. Distributed Learning and Broad Applications in Scientific Research, vol. 3, Oct. 2017, pp. 115-36
Naresh Dulam, et al. Snowflake Vs Redshift: Which Cloud Data Warehouse Is Right for You? . Distributed Learning and Broad Applications in Scientific Research, vol. 4, Oct. 2018, pp. 221-40
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
License Terms
Ownership and Licensing:
Authors of research papers submitted to Distributed Learning and Broad Applications in Scientific Research retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agree to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the journal. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in this journal.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the journal. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. Scientific Research Canada disclaims any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.
If you have any questions or concerns regarding these license terms, please contact us at editor@dlabi.org.