AUTOMATED INCIDENT RESPONSE SYSTEMS FOR CYBERSECURITY
Abstract
Cybersecurity is challenging to manage. The people and resources to deal with the growing number of threats to their company are not available in most businesses. Most threats are investigated due to this inability to cope with the number of signals. Due to this, businesses are at risk of critical attacks. Cybersecurity teams are overwhelmed. Companies everywhere are detecting and clearing network security attacks in the highly evolving industry of cybersecurity. Human effort and intervention are now no longer enough owing to cyber threats complexity and perpetuity of changes. Automated response programs fuelled by artificial intelligence are evermore significant when it comes to network security as well as to thwarting cyberattacks. The research investigates AI and network security-powered automated incident response systems. These systems are able to detect, evaluate, and respond to security incidents instantaneously using AI algorithms, machine learning, and threat intelligence. With automated decision-making and orchestration, AI systems are capable of discovering and controlling security breaches, reacting faster, and restricting cyberattacks on businesses' networks and activities. AI-powered automated incident response systems need to have intelligent decision-making, adaptive response, and sophisticated threat detection. Such systems process vast amounts of data, identify anomalies, and identify security vulnerabilities through supervised, unsupervised, and reinforcement learning. This paper proposes AI-based systems learn from new data and threat situations; they can rapidly adapt to emerging cyber threats
References
- Goyal, D., Gandhi, Y., Dongre, D., Shailesh, Bhagat, G. P., & Pawar, R. (2024, June). Decision Systems for Adaptive Cybersecurity Incident Response. In International Conference on Frontiers of Intelligent Computing: Theory and Applications (pp. 543-563). Singapore: Springer Nature Singapore.
- Papastergiou, S., Mouratidis, H., & Kalogeraki, E. M. (2019, May). Cyber security incident handling, warning and response system for the european critical information infrastructures (cybersane). In International Conference on Engineering Applications of Neural Networks (pp. 476-487). Cham: Springer International Publishing.
- Nandini, K., Yaramsetty, A., & Tulasirama, M. (2024). Enhancing Cybersecurity Resilience: A Study of Threat Detection and Mitigation Techniques in Modern Networks. Library of Progress-Library Science, Information Technology & Computer, 44(3).
- Akbari Gurabi, M., Nitz, L., Bregar, A., Popanda, J., Siemers, C., Matzutt, R., & Mandal, A. (2024). Requirements for playbook-assisted cyber incident response, reporting and automation. Digital Threats: Research and Practice, 5(3), 1-11.
- Abiade, O. (2024). TOPIC: Cybersecurity Automation: Streamlining Incident Response.
- Chinnam, S. K. (2024). AI-Augmented Cloud Management: Revolutionizing Monitoring and Incident Response.
- Karlzen, H., & Sommestad, T. (2023, August). Automatic incident response solutions: a review of proposed solutions’ input and output. In Proceedings of the 18th International Conference on Availability, Reliability and Security (pp. 1-9).
- Nutalapati, P. (2024). Automated Incident Response Using AI in Cloud Security. Journal of Artificial Intelligence, Machine Learning and Data Science, 2(1), 1301-1311.
- Trifonov, R., Manolov, S., Tsochev, G., & Pavlova, G. (2019). Automation of cyber security incident handling through artificial intelligence methods. WSEAS Transactions on Computers, 18(2), 274-280.
- LEOW, E. (2025). Employing Automation for Incident Response Planning. ISACA Journal, (1).
- Charyyev, S., & Gavirova, O. (2024). Incident Response Automation System. Innovative Science, (12-2-1), 36-37.
- Anayat, R. (2024). Cybersecurity Automation with AI: Reducing Human Error and Improving Incident Response.
- Uzoma, J., Falana, O., Obunadike, C., Oloyede, K., & Obunadike, E. (2023). Using artificial intelligence for automated incidence response in cybersecurity. International Journal of Information Technology (IJIT), 1(4).
- Abdul, S. (2023). AI for Cyber Security: Automated Incident Response Systems
- Manda, J. K. (2021). Cybersecurity Automation in Telecom: Implementing Automation Tools and Technologies to Enhance Cybersecurity Incident Response and Threat Detection in Telecom Operations. Advances in Computer Sciences, 4(1).
