Dynamic Threat Response in Cloud Workloads Using Automated Security Orchestration
Abstract
Cloud workloads face dynamic and evolving threats that require real-time response capabilities. This paper introduces a dynamic threat response framework that uses automated security orchestration and playbooks to detect and mitigate threats in real time. The framework integrates with SIEM systems, threat intelligence feeds, and cloud monitoring tools to identify attack patterns and initiate corrective actions. Automated responses include network isolation, privilege revocation, and workload migration to secure environments. Performance tests show that the framework reduces incident resolution time and improves threat mitigation accuracy. The study concludes that automated security orchestration enhances resilience and response capabilities in cloud workloads.
References
Sadaram, G., Karaka, L. M., Maka, S. R., Sakuru, M., Boppana, S. B., & Katnapally, N. (2024). AI-Powered Cyber Threat Detection: Leveraging Machine Learning for Real-Time Anomaly Identification and Threat Mitigation. MSW Management Journal, 34(2), 788-803.
Krishna Madhav, J., Varun, B., Niharika, K., Srinivasa Rao, M., & Laxmana Murthy, K. (2023). Optimising Sales Forecasts in ERP Systems Using Machine Learning and Predictive Analytics. J Contemp Edu Theo Artific Intel: JCETAI-104.
Sadaram, G., Sakuru, M., Karaka, L. M., Reddy, M. S., Bodepudi, V., Boppana, S. B., & Maka, S. R. (2022). Internet of Things (IoT) Cybersecurity Enhancement through Artificial Intelligence: A Study on Intrusion Detection Systems. Universal Library of Engineering Technology, (2022).
Jha, K. M., Velaga, V., Routhu, K. K., Sadaram, G., & Boppana, S. B. (2025). Evaluating the Effectiveness of Machine Learning for Heart Disease Prediction in Healthcare Sector. J Cardiobiol, 9(1), 1.
Maka, S. R. (2023). Understanding the Fundamentals of Digital Transformation in Financial Services: Drivers and Strategic Insights. Available at SSRN 5116707.
Karaka, L. M. (2021). Optimising Product Enhancements Strategic Approaches to Managing Complexity. Available at SSRN 5147875.
KishanKumar Routhu, A. D. P. Risk Management in Enterprise Merger and Acquisition (M&A): A Review of Approaches and Best Practices.
Routhu, KishanKumar & Katnapally, Niharika & Sakuru, Manikanth. (2023). Machine Learning for Cyber Defense: A Comparative Analysis of Supervised and Unsupervised Learning Approaches. Journal for ReAttach Therapy and Developmental Diversities. 6. 10.53555/jrtdd.v6i10s(2).3481.
Chinta, Purna Chandra Rao & Moore, Chethan Sriharsha. (2023). Cloud-Based AI and Big Data Analytics for Real-Time Business Decision-Making. 36. 96-123. 10.47363/JAICC/2023.
S. V. N. Sreenivasu, S. K. Katta, J. P. L. Auguskani, D. V. Priya, V. Jagadish and V. Raghunath, "Integrating AI-Driven IoT Solutions for Enhanced Predictive Analytics in Healthcare a Comprehensive Study on Chronic Disease Management," 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), Guntur, India, 2024, pp. 1-6, doi: 10.1109/ICEC59683.2024.10837020.
R. R. Yasani, P. M. Prasad, P. Srinivas, N. V. R. S. Reddy, P. Jawarkar and V. Raghunath, "AI-Driven Solutions for Cloud Security Implementing Intelligent Threat Detection and Mitigation Strategies," 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC), Guntur, India, 2024, pp. 1-6, doi: 10.1109/ICEC59683.2024.10837032.
V. Raghunath, "Security Issues Analysis Based on Big Data in Cloud Computing," World Journal of Advanced Research and Reviews, vol. 23, no. 3, pp. 2549-2557, 2024.
V. Raghunath, "Analysis on Addressing the Threats to Cloud Computing on the Basis of Security Safeguards for SAP Cloud Services," World Journal of Advanced Research and Reviews, vol. 23, no. 3, pp. 2539-2548, 2024.
V. Raghunath, "SAP S/4HANA Applications on Data Security and Protections for SAP Cloud Services," World Journal of Advanced Research and Reviews, vol. 23, no. 3, pp. 2530-2538, 2024.
V. Raghunath, "Investigation on Cloud Security Frameworks, Problems and Proposed Solutions," European Journal of Advances in Engineering and Technology, vol. 11, no. 9, pp. 103-110, 2024
V. Raghunath, "SAP Cloud Services on Decoding Cybersecurity and Data Privacy Controls," European Journal of Advances in Engineering and Technology, vol. 11, no. 9, pp. 95-102, 2024.
V. Raghunath, "A Comprehensive Review on Security and Privacy Properties in Cloud-Based Business and Scientific Workflows," European Journal of Advances in Engineering and Technology, vol. 11, no. 9, pp. 87-94, 2024.
V. Raghunath, "Analysis on the Planning Feature of SAP Analytics Cloud with Artificial Intelligence and Machine Learning Algorithms," International Journal of Artificial Intelligence & Machine Learning (IJAIML), 2024.
V. Raghunath, "User Support Solution Implementation for SAP ERP Utilizing Artificial Intelligence to Drive Automated," International Journal of Artificial Intelligence Research and Development, 2024.
V. Raghunath, "Predictive Analytics on SAP Database (HANA) by Using Artificial Intelligence (AI) and Automated Machine Learning Capabilities," International Journal of Computer Engineering and Technology (IJCET), vol. 15, no. 3, 2024.
V. Raghunath, "Investigating the Adaptive Supply Chain Module for the Integration of Google Cloud and SAP HANA Technologies," International Journal of System Design and Information Processing (IJSDIP), 2024
Siva
Balantrapu, S. S. (2022). Evaluating AI-Enhanced Cybersecurity Solutions Versus Traditional Methods: A Comparative Study. International Journal of Sustainable Development Through AI, ML and IoT, 1(1), 1-15.
Balantrapu, S. S. (2022). Ethical Considerations in AI-Powered Cybersecurity. International Machine learning journal and Computer Engineering, 5(5).
Balantrapu, S. S. (2021). The Impact of Machine Learning on Incident Response Strategies. International Journal of Management Education for Sustainable Development, 4(4), 1-17.
Balantrapu, S. S. (2019). Adversarial Machine Learning: Security Threats and Mitigations. International Journal of Sustainable Development in Computing Science, 1(3), 1-18.
Balantrapu, S. S. (2023). Evaluating the effectiveness of machine learning in phishing detection. International Scientific Journal for Research, 5(5).
Balantrapu, S. S. (2024). A Comprehensive Review of AI Applications in Cybersecurity. International Machine learning journal and Computer Engineering, 7.
Seelam, D. R., Kidiyur, M. D., Whig, P., Gupta, S. K., & Balantrapu, S. S. (2025). Integrating Artificial Intelligence in Blue-Green Infrastructure: Enhancing Sustainability and Resilience. In Integrating Blue-Green Infrastructure Into Urban Development (pp. 347-372). IGI Global Scientific Publishing.
