Cybersecurity Resilience and Risk Management in Enterprises
Keywords:
cybersecurity resilience, enterprise risk management, adaptive governance, digital infrastructureAbstract
Enterprises increasingly depend on complex digital infrastructures that expose them to persistent and evolving cyber threats. Cybersecurity resilience extends beyond traditional protection mechanisms by emphasizing anticipation, absorption, recovery, and adaptation in the face of adverse cyber events. This study investigates how enterprises design and operationalize cybersecurity resilience through integrated risk management practices. Drawing on information systems perspectives, the article develops a quantitative resilience assessment model and validates it using multi-sector enterprise data. The findings demonstrate that adaptive governance, continuous monitoring, and cross-functional integration significantly enhance organizational resilience outcomes.
References
[1] F. Abareshi, F. Zand, R. Sharifian, and A. Choobineh. The most used methods for evaluating health information technology systems usability: A scoping review. Work, 82(1):22–34, 2025.
[2] S. Ayabakan, H. Atasoy, and M.-S. Pang. THE INTERPLAY BETWEEN HEALTHCARE IN FORMATION TECHNOLOGIES AND DENIED CLAIMS. MIS Quarterly, 49(3):1169–1184, 2025.
[3] A. BRAHIMI, W. A. BELBACHIR, and H. MENNAD. Strategic Information Systems and Their Role in Enhancing the Competitive Advantage of Business Organizations. Management Dynamics in the Knowledge Economy, 13(4):357–375, 2025.
[4] H. Ha. An analysis of students’ experiences with an online information systems field trip. Journal of Internet Computing & Services, 26(6):149–157, 2025.
[5] R. Hekkala and E. Nordb¨ack. Unpacking reflexivity, psychological empowerment, and agile project dynamics among information systems professionals. Information Systems Journal, 35(4):1101 1131, 2025.
[6] M. Hollis, J. O. Omisola, J. Patterson, S. Vengathattil, and G. A. Papadopoulos. Dynamic resilience scoring in supply chain management using predictive analytics. The Artificial Intelligence Journal, 1(3), 2020.
[7] C. Liang, Y. Hong, and B. Gu. Monitoring and the Cold Start Problem in Digital Platforms: Theory and Evidence from Online Labor Markets. Information Systems Research, 36(1):600–620, 2025.
[8] N. Mehdiyev, M. Majlatow, and P. Fettke. Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective. Annals of Operations Research, 347(2):991–1030, 2025.
[9] A. A. OUDAH and M. M. BANDAR. The Moderating Role of User Satisfaction on the Relationship between Accounting System Quality and Accounting Information Systems in large Iraqi Industrial Companies. Quality- Access to Success, 26(206):428–444, 2025.
[10] A. P. PEREIRA and M. PROKOPIUK. THE CONVERGENCE OF GEOGRAPHIC INFORMATION SYSTEMS AND BUILDING INFORMATION MODELING FOR CITY INFORMATION MODELING IN CURITIBA: AN INSTITUTIONAL THEORY-BASED APPROACH. Theoretical & Empirical Researches in Urban Management, 20(2):32–60, 2025.
[11] L. Shi, J. Liu, Y. Li, and N. Z. Foutz. Ephemeral State-Dependent Recommendation for Digital Content. Information Systems Research, 36(4):2344–2357, 2025.
[12] Y. Su, W. Jiang, F. Lin, C. Yang, S. M. Erfani, J. Gan, Y. Zhao, R. Li, and R. Zhang. Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. ACM Transactions on Information Systems, 43(3):1–32, 2025.
[13] X. Tang, S. Yu, J. Chu, F. Li, H. Fan, and G. Jiang. Effect of system interface elements’ design features and vibration levels on task load and body discomfort in vehicle simulated vibration environments. Work, 80(3):1085–1097, 2025.
[14] S. Vengathattil. Collaborative ai in music composition: Human-ai symbiosis in creative processes. International Journal of Management Science and Information Technology, 5(1):253–262, 2025.
[15] J. Wang, L. Zhou, C. Jiang, and Z. Wang. Modeling and Interpreting the Propagation Influence of Neighbor Information in Time-Variant Networks with Exemplification by Financial Risk Prediction. Journal of Management Information Systems, 42(1):105–142, 2025.
[16] J. Wei, T. Zhang, and X. Lu. What Influences Users’ Continuous Intention to Use Function Oriented Systems: A Different Impact Mechanism for Patent Information Platforms. International Journal of Human-Computer Interaction, 41(12):7315–7337, 2025
