Framework for DevSecOps Implementation in Agile Environments
Main Article Content
Abstract
The integration of DevSecOps within Agile environments has emerged as a critical approach to enhancing software development efficiency, security, and reliability. This framework emphasizes embedding security practices into every stage of the software development lifecycle (SDLC) without disrupting the agility and speed that Agile methodologies provide. The traditional separation of development, security, and operations often leads to inefficiencies, delayed issue detection, and heightened vulnerabilities. By contrast, DevSecOps fosters a culture of shared responsibility among teams, enabling proactive threat identification and resolution.
This paper presents a comprehensive framework for implementing DevSecOps in Agile environments, focusing on its core principles of automation, continuous integration/continuous deployment (CI/CD), and collaboration. The framework underscores the need for integrating security tools seamlessly into Agile workflows, fostering real-time security insights without compromising iterative delivery. Key components include automated code analysis, dynamic vulnerability assessments, and embedding security requirements into user stories and sprint planning.
Additionally, the framework emphasizes education and training for cross-functional teams to cultivate a security-first mindset. Metrics for evaluating the success of DevSecOps implementation in Agile, such as mean time to detect (MTTD) and mean time to remediate (MTTR), are also discussed.
This work highlights the benefits of adopting a DevSecOps framework in Agile, including improved software quality, reduced costs associated with post-production vulnerabilities, and enhanced customer trust. Ultimately, it offers actionable insights for organizations seeking to balance speed and security in today’s fast-paced development landscape.
Article Details
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The license allows re-users to share and adapt the work, as long as credit is given to the author and don't use it for commercial purposes.
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• Ramachandran, Ramya, Ashvini Byri, Ashish Kumar, Dr. Satendra Pal Singh, Om Goel, and Prof. (Dr.) Punit Goel. (2024). Leveraging AI for Automated Business Process Reengineering in Oracle ERP. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 12(6):31. Retrieved October 20, 2024 (https://www.ijrmeet.org).
• Ramachandran, Ramya, Balaji Govindarajan, Imran Khan, Om Goel, Prof. (Dr.) Arpit Jain; Dr. Lalit Kumar. (2024). Enhancing ERP System Efficiency through Integration of Cloud Technologies. Iconic Research and Engineering Journals, Volume 8, Issue 3, 748-764.
• Ramalingam, B., Kshirsagar, R. P., Sengar, H. S., Kumar, D. L., Singh, D. S. P., & Goel, P. P. (2024). Leveraging AI and Machine Learning for Advanced Product Configuration and Optimization. Journal of Quantum Science and Technology (JQST), 1(2), 1–17. Link.
• Balachandar Ramalingam, Balaji Govindarajan, Imran Khan, Om Goel, Prof. (Dr.) Arpit Jain; Dr. Lalit Kumar. (2024). Integrating Digital Twin Technology with PLM for Enhanced Product Lifecycle Management. Iconic Research and Engineering Journals, Volume 8, Issue 3, 727-747.
• Subramani, P., Balasubramaniam, V. S., Kumar, P., Singh, N., Goel, P. (Dr), & Goel, O. (2024). The Role of SAP Advanced Variant Configuration (AVC) in Modernizing Core Systems. Journal of Quantum Science and Technology (JQST), 1(3), Aug(146–164). Retrieved from Link.
• Banoth, D. N., Jena, R., Vadlamani, S., Kumar, D. L., Goel, P. (Dr) P., & Singh, D. S. P. (2024). Performance Tuning in Power BI and SQL: Enhancing Query Efficiency and Data Load Times. Journal of Quantum Science and Technology (JQST), 1(3), Aug(165–183). Retrieved from Link.
• Mali, A. B., Khan, I., Dandu, M. M. K., Goel, P. (Dr) P., Jain, P. A., & Shrivastav, E. A. (2024). Designing Real-Time Job Search Platforms with Redis Pub/Sub and Machine Learning Integration. Journal of Quantum Science and Technology (JQST), 1(3), Aug(184–206). Retrieved from Link.
• Shaik, A., Khan, I., Dandu, M. M. K., Goel, P. (Dr) P., Jain, P. A., & Shrivastav, E. A. (2024). The Role of Power BI in Transforming Business Decision-Making: A Case Study on Healthcare Reporting. Journal of Quantum Science and Technology (JQST), 1(3), Aug(207–228). Retrieved from Link.
• Ravi, V. K., Gudavalli, S., Jampani, S., Goel, O., Jain, P. A., & Kumar, D. L. Role of Digital Twins in SAP and Cloud-based Manufacturing. Journal of Quantum Science and Technology (JQST) 1(4), Nov:268–284. Read Online.
• Ravi, V. K., Jampani, S., Gudavalli, S., Goel, P., Chhapola, A., & Shrivastav, E. A. Intelligent Data Processing in SAP Environments. Journal of Quantum Science and Technology (JQST) 1(4), Nov:285–304. Read Online.
• Jampani, S., Gudavalli, S., Ravi, V. K., Goel, P., Chhapola, A., & Shrivastav, E. A. Kubernetes and Containerization for SAP Applications. Journal of Quantum Science and Technology (JQST) 1(4), Nov:305–323. Read Online.
• Dave, S. A., Kankanampati, P. K., Tangudu, A., Goel, O., Tharan, O., & Jain, A. WebSocket Communication Protocols in SaaS Platforms. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(9):67. Read Online.
• Dave, S. A., Nadukuru, S., Singiri, S., Goel, O., Tharan, O., & Jain, A. Scalable Microservices for Cloud-Based Distributed Systems. Darpan International Research Analysis 12(3):776–809. DOI: 10.36676/dira.v12.i3.132.
• Kyadasu, Rajkumar, Shyamakrishna Siddharth Chamarthy, Vanitha Sivasankaran Balasubramaniam, MSR Prasad, Sandeep Kumar, and Sangeet. 2024. Optimizing Predictive Analytics with PySpark and Machine Learning Models on Databricks. International Journal of Research in Modern Engineering and Emerging Technology 12(5):83. https://www.ijrmeet.org.
• Kyadasu, R., Dave, A., Arulkumaran, R., Goel, O., Kumar, D. L., & Jain, P. A. (2024). Exploring Infrastructure as Code Using Terraform in Multi-Cloud Deployments. Journal of Quantum Science and Technology (JQST), 1(4), Nov(1–24). Retrieved from https://jqst.org/index.php/j/article/view/94.
• Mane, Hrishikesh Rajesh, Shyamakrishna Siddharth Chamarthy, Vanitha Sivasankaran Balasubramaniam, T. Aswini Devi, Sandeep Kumar, and Sangeet. 2024. Low-Code Platform Development: Reducing Man-Hours in Startup Environments. International Journal of Research in Modern Engineering and Emerging Technology 12(5):107. Retrieved from www.ijrmeet.org.
• Mane, H. R., Kumar, A., Dandu, M. M. K., Goel, P. (Dr) P., Jain, P. A., & Shrivastav, E. A. (2024). Micro Frontend Architecture With Webpack Module Federation: Enhancing Modularity Focusing On Results And Their Implications. Journal of Quantum Science and Technology (JQST), 1(4), Nov(25–57). Retrieved from https://jqst.org/index.php/j/article/view/95.
• Mohan, Priyank, Phanindra Kumar Kankanampati, Abhishek Tangudu, Om Goel, Dr. Lalit Kumar, and Prof. (Dr.) Arpit Jain. 2024. "Data-Driven Defect Reduction in HR Operations." International Journal of Worldwide Engineering Research 2(5):64–77.
• Priyank Mohan, Sneha Aravind, FNU Antara, Dr Satendra Pal Singh, Om Goel, & Shalu Jain. 2024. "Leveraging Gen AI in HR Processes for Employee Termination." Darpan International Research Analysis, 12(3), 847–868. https://doi.org/10.36676/dira.v12.i3.134.
• Imran Khan, Nishit Agarwal, Shanmukha Eeti, Om Goel, Prof.(Dr.) Arpit Jain, & Prof.(Dr) Punit Goel. 2024. Optimization Techniques for 5G O-RAN Deployment in Cloud Environments. Darpan International Research Analysis, 12(3), 869–614. https://doi.org/10.36676/dira.v12.i3.135.
• Khan, Imran, Sivaprasad Nadukuru, Swetha Singiri, Om Goel, Dr. Lalit Kumar, and Prof. (Dr.) Arpit Jain. 2024. “Improving Network Reliability in 5G O-RAN Through Automation.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(7):24.
• Sengar, Hemant Singh, Krishna Kishor Tirupati, Pronoy Chopra, Sangeet Vashishtha, Aman Shrivastav, and Shalu Jain. 2024. The Role of Natural Language Processing in SaaS Customer Interactions: A Case Study of Chatbot Implementation. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(7):48.
• Sengar, Hemant Singh, Sneha Aravind, Swetha Singiri, Arpit Jain, Om Goel, and Lalit Kumar. 2024. “Optimizing Recurring Revenue through Data-Driven AI-Powered Dashboards.” International Journal of Current Science (IJCSPUB) 14(3):104. doi: IJCSP24C1127.
• Sengar, Hemant Singh, Nanda Kishore Gannamneni, Bipin Gajbhiye, Prof. (Dr.) Sangeet Vashishtha, Raghav Agarwal, and Shalu Jain. 2024. “Designing Scalable Data Warehouse Architectures for Real-Time Financial Reporting.” International Journal of Worldwide Engineering Research 2(6):76–94. doi:[Impact Factor 5.212]. (https://www.ijwer.com).
• Hemant Singh Sengar, Sneha Aravind, Raja Kumar Kolli, Om Goel, Dr Satendra Pal Singh, & Prof.(Dr) Punit Goel. 2024. Ever aging AI/ML Models for Predictive Analytics in SaaS Subscription Management. Darpan International Research Analysis, 12(3), 915–947. https://doi.org/10.36676/dira.v12.i3.136.
• Abhijeet Bajaj, Dr Satendra Pal Singh, Murali Mohana Krishna Dandu, Raja Kumar Kolli, Om Goel, & Prof.(Dr) Punit Goel. 2024. Advanced Algorithms for Surge Pricing Optimization in Multi-City Ride-Sharing Networks. Darpan International Research Analysis, 12(3), 948–977. https://doi.org/10.36676/dira.v12.i3.137.
• Bajaj, Abhijeet, Aman Shrivastav, Krishna Kishor Tirupati, Pronoy Chopra, Prof. (Dr.) Sangeet Vashishtha, and Shalu Jain. 2024. Dynamic Route Optimization Using A Search and Haversine Distance in Large-Scale Maps. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(7):61. https://www.ijrmeet.org.
• Bajaj, Abhijeet, Om Goel, Sivaprasad Nadukuru, Swetha Singiri, Arpit Jain, and Lalit Kumar. 2024. “AI-Based Multi-Modal Chatbot Interactions for Enhanced User Engagement.” International Journal of Current Science (IJCSPUB) 14(3):90. https://www.ijcspub.org.
• Bajaj, Abhijeet, Raghav Agarwal, Nanda Kishore Gannamneni, Bipin Gajbhiye, Sangeet Vashishtha, and Shalu Jain. 2024. Depth-Based Annotation Techniques for RGB-Depth Images in Computer Vision. International Journal of Worldwide Engineering Research 2(6):1–16.