The Role of AI in Automating Cyber Incident Response: Challenges and Opportunity
DOI:
https://doi.org/10.5281/zenodo.16559294Keywords:
artificial intelligence, cybersecurity, incident response, automation, explainable AI, threat detection, response time, human-AI collaboration, simulation, trust in AIAbstract
Cyber threats are becoming more common and more complex, therefore we need faster and smarter ways to respond to them. This study looked into the function of Artificial Intelligence (AI) in automating the response to cyber incidents, focusing on how well it works, what problems it might face, and what opportunities it might create. A mixed-methods approach was used, which included testing how well AI-based tools worked in fake cyber-attack situations and talking to cybersecurity experts. The results showed that AI tools cut down on detection and response times by a lot while still being quite accurate at finding and stopping threats. However, concerns regarding trust, explainability, and integration with legacy systems emerged as key barriers to adoption. The results imply that AI has the ability to change cybersecurity for the better, but it won't be successful unless systems that are clear and easy to understand are made that can work with human experience. These insights are very helpful for companies who want to use AI to improve their ability to respond to incidents.
Downloads
References
Adepu, S., & Ramakrishna, S. (2021). Controlled drug delivery systems: current status and future directions. Molecules, 26(19), 5905.
Ezike, T. C., Okpala, U. S., Onoja, U. L., Nwike, C. P., Ezeako, E. C., Okpara, O. J., ... & Nwanguma, B. C. (2023). Advances in drug delivery systems, challenges and future directions. Heliyon, 9(6).
Jeong, W. Y., Kwon, M., Choi, H. E., & Kim, K. S. (2021). Recent advances in transdermal drug delivery systems: A review. Biomaterials Research, 25, 1-15.
Jhaveri, J., Raichura, Z., Khan, T., Momin, M., & Omri, A. (2021). Chitosan nanoparticles-insight into properties, functionalization and applications in drug delivery and theranostics. Molecules, 26(2), 272.
Khan, M. I., Hossain, M. I., Hossain, M. K., Rubel, M. H. K., Hossain, K. M., Mahfuz, A. M. U. B., & Anik, M. I. (2022). Recent progress in nanostructured smart drug delivery systems for cancer therapy: A review. ACS Applied Bio Materials, 5(3), 971-1012.
Kumar, V., Praveen, N., Kewlani, P., Arvind, Singh, A., Gautam, A. K., & Mahalingam Rajamanickam, V. (2023). Transdermal drug delivery systems. in Advanced Drug Delivery: Methods and Applications, pp. 333-362. Singapore: Springer Nature.
Liu, B., & Chen, K. (2024). Advances in hydrogel-based drug delivery systems. Gels, 10(4), 262.
Liu, P., Chen, G., & Zhang, J. (2022). A review of liposomes as a drug delivery system: current status of approved products, regulatory environments, and future perspectives. Molecules, 27(4), 1372.
Liu, R., Luo, C., Pang, Z., Zhang, J., Ruan, S., Wu, M., ... & Gao, H. (2023). Advances of nanoparticles as drug delivery systems for disease diagnosis and treatment. Chinese Chemical Letters, 34(2), 107518.
Park, H., Otte, A., & Park, K. (2022). Evolution of drug delivery systems: From 1950 to 2020 and beyond. Journal of Controlled Release, 342, 53-65.
Pillai, A., Bhande, D., & Pardhi, V. (2023). Controlled drug delivery system. in Advanced Drug Delivery: Methods and Applications, pp. 267-289. Singapore: Springer Nature.
Tian, H., Zhang, T., Qin, S., Huang, Z., Zhou, L., Shi, J., ... & Shen, Z. (2022). Enhancing the therapeutic efficacy of nanoparticles for cancer treatment using versatile targeted strategies. Journal of Hematology & Oncology, 15(1), 132.
Wang, J., Li, B., Qiu, L., Qiao, X., & Yang, H. (2022). Dendrimer-based drug delivery systems: History, challenges, and latest developments. Journal of Biological Engineering, 16(1), 18.
Yan, S., Na, J., Liu, X., & Wu, P. (2024). Different targeting ligands-mediated drug delivery systems for tumor therapy. Pharmaceutics, 16(2), 248.
Yusuf, A., Almotairy, A. R. Z., Henidi, H., Alshehri, O. Y., & Aldughaim, M. S. (2023). Nanoparticles as drug delivery systems: a review of the implication of nanoparticles’ physicochemical properties on responses in biological systems. Polymers, 15(7), 1596.
Published
How to Cite
Issue
Section
ARK
License
Copyright (c) 2025 Venkatesh Kodela
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research Articles in 'Applied Science and Engineering Journal for Advanced Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
