DIGITAL AUDIT BASED ON ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF BUSINESS FINANCIAL SECURITY

Authors

DOI:

https://doi.org/10.32782/2413-9971/2026-60-8

Keywords:

digital audit, artificial intelligence, financial control, data analysis, audit procedures, risks, financial reporting transparency, financial security

Abstract

The paper examines digital audit based on artificial intelligence in the context of ensuring business financial security under conditions of economic digitalization. The purpose of the study is to substantiate the transformation of audit approaches through the integration of data analytics and intelligent technologies, as well as to determine their impact on the effectiveness of financial control. It is established that the use of artificial intelligence allows for processing large volumes of financial data, identifying anomalies, and detecting risk operations in real time. The study reveals that digital audit contributes to the transition from periodic to continuous monitoring of financial processes, which significantly increases the transparency and reliability of financial reporting. Particular attention is paid to the role of analytical tools in risk forecasting and decision-making support within enterprise management systems. It is determined that the effectiveness of digital audit depends on the quality of input data, the level of digital maturity of enterprises, and the professional competencies of auditors. The limitations associated with the complexity of interpreting analytical results and technological dependence are also highlighted. A conceptual approach to understanding digital audit as an integrated model of financial control combining technological solutions and professional judgment is proposed. The results of the study confirm that the implementation of digital audit based on artificial intelligence enhances financial security by reducing the probability of fraud, improving control efficiency, and strengthening the stability of business operations. The practical significance of the research lies in the possibility of applying its results in the development of modern audit systems and financial risk management tools.

References

Bao Y., Ke B., Li B., Yu Y. J., Zhang J. Detecting accounting fraud in publicly traded U.S. firms using a machine learning approach. Journal of Accounting Research. 2020. Vol. 58. P. 199–235. DOI: https://doi.org/10.1111/1475-679X.12292

Agrawal A., Cooper T. Insider trading before accounting scandals. Journal of Corporate Finance. 2015. Vol. 34. P. 169–190.

Шамуратов О. На що здатен штучний інтелект? Тренди 2023 року та прогнози на майбутнє. 2023. URL: https://happymonday.ua/shtuchnyi-intelekttrendy-2023

AI-екосистема України: компанії, освіта та таланти: дослідження AI House. 2024. URL: https://aihouse.org.ua/research/ai-ecosystem-of-ukraine-talentcompanies-education/

Дегтярьова О. О. Соціально-економічні аспекти застосування штучного інтелекту в бізнес-середовищі: переваги та ризики. Вісник соціально-економічних досліджень. 2023. № 1–2 (84–85). С. 118–130. DOI: https://doi.org/10.33987/vsed.2023.1-2.118

Лапоша Д. Впровадження цифрових технологій при здійсненні контролю за публічними фінансами в територіальній громаді. Управління розвитком складних систем. 2022. № 51. С. 58–68. DOI: https://doi.org/10.32347/2412-9933.2022.51.58-68

Правдюк Н. Л., Правдюк М. В. Штучний інтелект як каталізатор трансформаційних процесів у бухгалтерському обліку. Економіка, фінанси, менеджмент. 2024. № 1 (67). С. 69–83. DOI: https://doi.org/10.37128/2411-4413-2024-1-5

Приймук В. В. Впровадження штучного інтелекту у фінансову діяльність підприємства. Збірник наукових праць Державного податкового університету. 2023. № 1. С. 183–198. DOI: https://doi.org/10.33244/2617-5940.1.2023.183-198

Ревак І. О., Підхомний О. М., Винник С. С. Розвиток інновацій у системі фінансового контролю підприємницьких структур. Актуальні проблеми інноваційної економіки та права. 2024. № 1. С. 51–58. DOI: https://doi.org/10.36887/2524-0455-2024-1-11

Руда О. Л. Штучний інтелект та напрями використання в банківській діяльності. Ефективна економіка. 2024. № 1. DOI: https://doi.org/10.32702/2307-2105.2024.1.50.

Таранич А. В., Пелехацький Д. О. Використання штучного інтелекту в процесах стратегічного управління підприємствами. Економіка України. 2024. № 1. С. 54–65. DOI: https://doi.org/10.15407/economyukr.2024.01.054

Іванова Л. І. Застосування хмарних технологій при використанні штучного інтелекту в аудиті. Матеріали ІХ Міжнародної науково-практичної конференції. Київ: КНЕУ, 2023. С. 229–231.

Yankovska K. Digital transformation of accounting and auditing based on modern information systems. Bulletin of Lviv National Environmental University. 2025. No. 32. P. 50–54. DOI: https://doi.org/10.31734/economics2025.32.050

Alles M. Drivers of the use and facilitators and obstacles of the evolution of big data by the audit profession. Accounting Horizons. 2015. Vol. 29. No. 2. P. 439–449.

Appelbaum D., Kogan A., Vasarhelyi M. Big data and analytics in the modern audit engagement: Research needs. Journal of Information Systems. 2017. Vol. 31. No. 3. P. 1–20.

Balaziuk O., Pyliavets V. Blockchain technology: essence and areas of application. Economy and Society. 2022. No. 43. DOI: https://doi.org/10.32782/2524-0072/2022-43-13

Bardash S. V., Hrabchuk I. L. Digital technologies in accounting: key opportunities and risks. Effective Economy. 2021. No. 9. DOI: https://doi.org/10.32702/2307-2105-2021.9.18

Chenash V. S., Abramov A. P., Shebeshten E. H. Development of accounting systems in Ukraine under the influence of digital technologies. Current Issues of Economic Sciences. 2024. No. 3–4. DOI: https://doi.org/10.5281/zenodo.14011609

Melnyk L. et al. Digital transformation of business processes in Ukraine. Mechanism of Economic Regulation. 2024. Vol. 2. No. 104. P. 54–60. DOI: https://doi.org/10.32782/mer.2024.104.07

Hevlych L. L. The accounting profession in the digital economy. Economics and Management Organisation. 2021. Vol. 3. No. 43. P. 138–146. DOI: https://doi.org/10.31558/2307-2318.2021.3.13

ICAEW. Digitalisation of accounting and finance functions. 2020. URL: https://www.icaew.com

IFAC. The future of accounting. 2021. URL: https://www.ifac.org

Ionin Ye. Accounting and analytical support of business processes in the digital economy. Economic Analysis. 2023. Vol. 33. No. 1. P. 172–191. DOI: https://doi.org/10.35774/econa2023.01.172.

Kononenko L. V., Nazarova H. B., Savchenko V. M. Organisation of accounting and auditing in the context of digital technologies. Problems of Modern Transformations. 2025. No. 18. DOI: https://doi.org/10.54929/2786-5738-2025-18-09-03

Bao, Y., Ke, B., Li, B., Yu, Y. J., Zhang, J. (2020) Detecting accounting fraud in publicly traded U.S. firms using a machine learning approach. Journal of Accounting Research, vol. 58, pp. 199–235. DOI: https://doi.org/10.1111/1475-679X.12292

Agrawal, A., Cooper, T. (2015) Insider trading before accounting scandals. Journal of Corporate Finance, vol. 34, pp. 169–190.

Shamuratov, O. (2023) Na shcho zdatnyi shtuchnyi intelekt? Trendy 2023 roku ta prohnozy na maibutnie [What is artificial intelligence capable of? Trends of 2023 and future forecasts]. Available at: https://happymonday.ua/shtuchnyi-intelekttrendy-2023

AI-ekosystema Ukrainy: kompanii, osvita ta talanty: doslidzhennia AI House [AI ecosystem of Ukraine: companies, education and talents: AI House research]. Available at: https://aihouse.org.ua/research/ai-ecosystem-of-ukraine-talentcompanies-education/

Dehtiarova, O. O. (2023) Sotsialno-ekonomichni aspekty zastosuvannia shtuchnoho intelektu v biznes-seredovyshchi: perevahy ta ryzyky [Socio-economic aspects of artificial intelligence application in the business environment: advantages and risks]. Visnyk sotsialno-ekonomichnykh doslidzhen, no. 1–2 (84–85), pp. 118–130. DOI: https://doi.org/10.33987/vsed.2023.1-2.118

Laposha, D. (2022) Vprovadzhennia tsyfrovykh tekhnolohii pry zdiisnenni kontroliu za publichnymy finansamy v terytorialnii hromadi [Implementation of digital technologies in public finance control in territorial communities]. Upravlinnia rozvytkom skladnykh system, no. 51, pp. 58–68. DOI: https://doi.org/10.32347/2412-9933.2022.51.58-68

Pravdiuk, N. L., Pravdiuk, M. V. (2024) Shtuchnyi intelekt yak katalizator transformatsiinykh protsesiv u bukhhalterskomu obliku [Artificial intelligence as a catalyst of transformation processes in accounting]. Ekonomika, finansy, menedzhment, no. 1 (67), pp. 69–83. DOI: https://doi.org/10.37128/2411-4413-2024-1-5

Pryimuk, V. V. (2023) Vprovadzhennia shtuchnoho intelektu u finansovu diialnist pidpryiemstva [Implementation of artificial intelligence in enterprise financial activity]. Zbirnyk naukovykh prats Derzhavnoho podatkovoho universytetu, no. 1, pp. 183–198. DOI: https://doi.org/10.33244/2617-5940.1.2023.183-198

Revak, I. O., Pidkhomnyi, O. M., Vynnyk, S. S. (2024) Rozvytok innovatsii u systemi finansovoho kontroliu pidpryiemnytskykh struktur [Development of innovations in the financial control system of business entities]. Aktualni problemy innovatsiinoi ekonomiky ta prava, no. 1, pp. 51–58. DOI: https://doi.org/10.36887/2524-0455-2024-1-11

Ruda, O. L. (2024) Shtuchnyi intelekt ta napriamy vykorystannia v bankivskii diialnosti [Artificial intelligence and directions of its use in banking]. Efektyvna ekonomika, no. 1. DOI: https://doi.org/10.32702/2307-2105.2024.1.50

Taranych, A. V., Pelekhatskyi, D. O. (2024) Vykorystannia shtuchnoho intelektu v protsesakh stratehichnoho upravlinnia pidpryiemstvamy [Use of artificial intelligence in strategic management processes of enterprises]. Ekonomika Ukrainy, no. 1, pp. 54–65. DOI: https://doi.org/10.15407/economyukr.2024.01.054

Ivanova, L. I. (2023) Zastosuvannia khmarnykh tekhnolohii pry vykorystanni shtuchnoho intelektu v audyti [Application of cloud technologies in AI-based auditing]. In: Materialy IKh Mizhnarodnoi naukovo-praktychnoi konferentsii. Kyiv: KNEU, pp. 229–231.

Yankovska, K. (2025) Digital transformation of accounting and auditing based on modern information systems. Bulletin of Lviv National Environmental University, no. 32, pp. 50–54. DOI: https://doi.org/10.31734/economics2025.32.050

Alles, M. (2015) Drivers of the use and facilitators and obstacles of the evolution of big data by the audit profession. Accounting Horizons, vol. 29, no. 2, pp. 439–449.

Appelbaum, D., Kogan, A., Vasarhelyi, M. (2017) Big data and analytics in the modern audit engagement: research needs. Journal of Information Systems, vol. 31, no. 3, pp. 1–20.

Balaziuk, O., Pyliavets, V. (2022) Blockchain technology: essence and areas of application. Economy and Society, no. 43. DOI: https://doi.org/10.32782/2524-0072/2022-43-13

Bardash, S. V., Hrabchuk, I. L. (2021) Digital technologies in accounting: key opportunities and risks. Effective Economy, no. 9. DOI: https://doi.org/10.32702/2307-2105-2021.9.18

Chenash, V. S., Abramov, A. P., Shebeshten, E. H. (2024) Development of accounting systems in Ukraine under the influence of digital technologies. Current Issues of Economic Sciences, no. 3–4. DOI: https://doi.org/10.5281/zenodo.14011609

Melnyk, L. et al. (2024) Digital transformation of business processes in Ukraine. Mechanism of Economic Regulation, vol. 2, no. 104, pp. 54–60. DOI: https://doi.org/10.32782/mer.2024.104.07

Hevlych, L. L. (2021) The accounting profession in the digital economy. Economics and Management Organisation, vol. 3, no. 43, pp. 138–146. DOI: https://doi.org/10.31558/2307-2318.2021.3.13

ICAEW. (2020) Digitalisation of accounting and finance functions. Available at: https://www.icaew.com

IFAC. (2021) The future of accounting. Available at: https://www.ifac.org

Ionin, Ye. (2023) Accounting and analytical support of business processes in the digital economy. Economic Analysis, vol. 33, no. 1, pp. 172–191. DOI: https://doi.org/10.35774/econa2023.01.172

Kononenko, L. V., Nazarova, H. B., Savchenko, V. M. (2025) Organisation of accounting and auditing in the context of digital technologies. Problems of Modern Transformations, no. 18. DOI: https://doi.org/10.54929/2786-5738-2025-18-09-03

Downloads

##article.numberofviews## 0

Published

2026-04-02