References

(1) Alevizos, L., 2025. Automated cybersecurity compliance and threat response using AI, blockchain and smart contracts. International Journal of Information Technology, 17(2), pp.767-781.

(2) Ban, T., Takahashi, T., Ndichu, S. and Inoue, D., 2023. Breaking alert fatigue: AI-assisted SIEM framework for effective incident response. Applied Sciences, 13(11), p.6610.

(3) Falowo, O. and Jacques, B.A., 2025. Empirical Study on Automation, AI Trust, and Framework Readiness in Cybersecurity Incident Response.

(4) Ismail, RahmatKurnia, Zilmas Arjuna Brata, GhithaAfinaNelistiani, and Hyeongon Kim, 2025. Toward Robust Security Orchestration and Automated Response in Security Operations Centers with a Hyper-Automation Approach Using Agentic Artificial Intelligence. https://doi.org/10.3390/info16050365

(5) Kinyua, J. and Awuah, L., 2021. AI/ML in Security Orchestration, Automation and Response: Future Research Directions. Intelligent Automation & Soft Computing, 28(2).

(6) Kurnia, R., Brata, Z.A., Nelistiani, G.A., Heo, S., Kim, H. and Kim, H., 2025. Toward Robust Security Orchestration and Automated Response in Security Operations Centers with a Hyper-Automation Approach Using Agentic Artificial Intelligence. Information (2078-2489), 16(5).

(7) Manuals, 2025. 2025 Pulse of the AI SOC Report. Available at: https://manuals.plus/m/80ca80b161ab8c75bd5481305e95ca3b07fa736acaa891258abdbc0f267e32ee [Accessed 9th, February, 2026]

(8) Mohamed, N., 2025. Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms. Knowledge and Information Systems, pp.1-87.

(9) Olufunsho I. Falowo and Jacques Bou Abdo, 2026. Empirical Study on Automation, AI Trust, and Framework Readiness in Cybersecurity Incident Response. https://doi.org/10.3390/a19010062

(10) Parisa, S.K. and Banerjee, S., 2024. AI-Enabled Cloud Security Solutions: A Comparative Review of Traditional vs. Next-Generation Approaches. International Journal of Statistical Computation and Simulation, 16(1).

(11) Prasad, A., Bhatia, V.S., Tyagi, N., Sengupta, A. and Singh, H., 2022. Zero Trust in Multi-Cloud Environments: A Framework for Identity-Aware Micro-Segmentation. Available at SSRN 5285824.

(12) Sengupta, A., Tewari, R., Singh, H., Verma, A. and Bhatia, V.S., 2020. API Gateway as a Security Sentinel: Adaptive Threat Detection at the Edge of Cloud Services. Available at SSRN 5381334.

(13) Singh, B., 2022. Real-Time Network Monitoring and Incident Response with AI-Driven Automation Data Center and WAN Transformation. Available at SSRN 5331665.

(14) Singh, B., Anand, A., Prabhat, S. and Ranjan, P., 2025. Threat Onboarding and Response (TOR): Automating Cybersecurity in Enterprise Networks.

(15) Singh, H., Prasad, A., Tyagi, N., Verma, A. and Tewari, R., 2024. Designing cloud-native intrusion detection systems with API transaction intelligence. Available at SSRN 5374865.

CITE THIS ARTICLE AS: Prosun Gerst & Per Johannisson (2024), “ Threat onboarding and response (tor): an intelligent automation framework for enterprise cyber defence ”, International Journal of Advances in Engineering & Scientific Research,Volume 11, Issue 2, 2024, pp 114-120. DOI :  https://doi.org/10.5281/zenodo.18604140     

References

(1) Alevizos, L., 2025. Automated cybersecurity compliance and threat response using AI, blockchain and smart contracts. International Journal of Information Technology, 17(2), pp.767-781.

(2) Ban, T., Takahashi, T., Ndichu, S. and Inoue, D., 2023. Breaking alert fatigue: AI-assisted SIEM framework for effective incident response. Applied Sciences, 13(11), p.6610.

(3) Falowo, O. and Jacques, B.A., 2025. Empirical Study on Automation, AI Trust, and Framework Readiness in Cybersecurity Incident Response.

(4) Ismail, RahmatKurnia, Zilmas Arjuna Brata, GhithaAfinaNelistiani, and Hyeongon Kim, 2025. Toward Robust Security Orchestration and Automated Response in Security Operations Centers with a Hyper-Automation Approach Using Agentic Artificial Intelligence. https://doi.org/10.3390/info16050365

(5) Kinyua, J. and Awuah, L., 2021. AI/ML in Security Orchestration, Automation and Response: Future Research Directions. Intelligent Automation & Soft Computing, 28(2).

(6) Kurnia, R., Brata, Z.A., Nelistiani, G.A., Heo, S., Kim, H. and Kim, H., 2025. Toward Robust Security Orchestration and Automated Response in Security Operations Centers with a Hyper-Automation Approach Using Agentic Artificial Intelligence. Information (2078-2489), 16(5).

(7) Manuals, 2025. 2025 Pulse of the AI SOC Report. Available at: https://manuals.plus/m/80ca80b161ab8c75bd5481305e95ca3b07fa736acaa891258abdbc0f267e32ee [Accessed 9th, February, 2026]

(8) Mohamed, N., 2025. Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms. Knowledge and Information Systems, pp.1-87.

(9) Olufunsho I. Falowo and Jacques Bou Abdo, 2026. Empirical Study on Automation, AI Trust, and Framework Readiness in Cybersecurity Incident Response. https://doi.org/10.3390/a19010062

(10) Parisa, S.K. and Banerjee, S., 2024. AI-Enabled Cloud Security Solutions: A Comparative Review of Traditional vs. Next-Generation Approaches. International Journal of Statistical Computation and Simulation, 16(1).

(11) Prasad, A., Bhatia, V.S., Tyagi, N., Sengupta, A. and Singh, H., 2022. Zero Trust in Multi-Cloud Environments: A Framework for Identity-Aware Micro-Segmentation. Available at SSRN 5285824.

(12) Sengupta, A., Tewari, R., Singh, H., Verma, A. and Bhatia, V.S., 2020. API Gateway as a Security Sentinel: Adaptive Threat Detection at the Edge of Cloud Services. Available at SSRN 5381334.

(13) Singh, B., 2022. Real-Time Network Monitoring and Incident Response with AI-Driven Automation Data Center and WAN Transformation. Available at SSRN 5331665.

(14) Singh, B., Anand, A., Prabhat, S. and Ranjan, P., 2025. Threat Onboarding and Response (TOR): Automating Cybersecurity in Enterprise Networks.

(15) Singh, H., Prasad, A., Tyagi, N., Verma, A. and Tewari, R., 2024. Designing cloud-native intrusion detection systems with API transaction intelligence. Available at SSRN 5374865.