Affiliation:
1. Bucharest University of Economic Studies , Bucharest , Romania
Abstract
Abstract
The integration of emerging technologies in Enterprise Resource Planning systems has the potential to enhance security, automation, decision-making, and predictive capabilities. However, this also introduces new cybersecurity challenges, as the systems may become targets for malicious attacks or data breaches. Understanding the nexus between organizational systems, artificial intelligence (AI), and cyber-security requirements, offers new insights for the modern business environment. Our study begins with an exploration of recent cases of AI-enhanced cybersecurity tools implemented within organizational information systems, as these currently stand. This research landscape is our starting point for an analysis of the impact of these tools on different types of systems, of the cyber risks reported in recent literature, and the configuration of cyber-security solutions tailored after current vulnerabilities of the business environment. We also identify trends and gaps in the existing research that suggest possible new topics for further investigation.
Reference58 articles.
1. Alem, S., Espes, D., Martin, E., Nana, L.,v De Lamotte, F. (2019). A hybrid intrusion detection system in industry 4.0 based on ISA95 standard. In 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA) (pp. 1-8). IEEE. https://doi.org/10.1109/AICCSA47632.2019.9035260
2. Alrfai, M. N., Alqudah, H., Lutfi, A., Al-Kofahi, M., Alrawad, M., Almaiah, M. (2023). The influence of artificial intelligence on the AISs efficiency: Moderating effect of the cyber security, Cogent Social Sciences, 9(2). https://doi.org/10.1080/23311886.2023.2243719
3. Aurucci, P. (2018). Applications and Security Risks of Artificial Intelligence for Cyber Security in Digital Environment. In Intelligent Environments 2018, 23 (pp. 308-317). IOS Press. https://doi.org/10.3233/978-1-61499-874-7-308
4. Aldoseri, A., Al-Khalifa, K.N., Hamouda, A.M. (2024). Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation. Appl. Syst. Innov. 2024, 7, 14. https://doi.org/10.3390/asi7010014
5. Bawa, S. S. (2023). How Business can use ERP and AI to become Intelligent Enterprise. International Journal of Innovative Science and Research Technology, 8(2), 1186–1189. https://doi.org/10.5281/zenodo.7688737