Articles | Open Access | https://doi.org/10.55640/ijdsml-05-01-14

Automating ITSM Compliance (GDPR/SOC 2/HIPAA) in Jira Workflows: A Framework for High-Risk Industries

Srilatha Samala , Jira Reporting Lead, Apex IT Services,500 Alexander Park Drive, Suite 102, Princeton, NJ

Abstract

Regulatory compliance is increasingly a fundamental part of a methodology to shield one’s organization from unscrupulous practices in enterprise IT. Organizations are bound by these compliance frameworks, such as GDPR, SOC 2, and the Health Insurance Portability and Accountability Act (HIPAA), to have the most potent data security, privacy, and integrity controls in place as they pertain to data. Organizations can get integrated options for handling workflows and ensuring compliance with the automated options of IT Service Management (ITSM) tools like Jira. With customizable workflows, automated notifications, and task assignments, Jira exposes organizations to powerful and easy-to-enforce compliance with these regulations across large and distributed teams. This study explores ways of automating the compliance workflows using Jira and how it would integrate well with other ITSM tools and perfectly tie with IT service and DevOps processes. It also talks about how complex it is to automate compliance, including configuring workflows and integrating legacy systems. This will help the organization automate compliance tasks, lessen human error risk, accelerate the audit, and stay on track with compliance metrics. Jira case studies are also presented, which explain how Jira is used in high-risk cases, reducing the risk associated with compliance and improving audit and streamlining of workflow. The paper ends by recommending industry organizations that want to utilize the best practices of compliance automation as part of their strategies and predicting trends that will affect compliance automation ITSM practices in the future, including AI and machine learning, blockchain technology.

Keywords

Compliance Automation, Jira Workflows, GDPR, SOC 2, HIPAA

References

Abbasi, N., & Smith, D. A. (2024). Cybersecurity in Healthcare: Securing Patient Health Information (PHI), HIPPA compliance framework and the responsibilities of healthcare providers. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 3(3), 278-287.

Abouelmehdi, K., Beni-Hessane, A., & Khaloufi, H. (2018). Big healthcare data: preserving security and privacy. Journal of big data, 5(1), 1-18.

Achar, S. (2021). Enterprise saas workloads on new-generation infrastructure-as-code (iac) on multi-cloud platforms. Global Disclosure of Economics and Business, 10(2), 55-74.

Ahmad, A., Saad, M., & Mohaisen, A. (2019). Secure and transparent audit logs with BlockAudit. Journal of network and computer applications, 145, 102406.

Allard, T., Alvino, P., Shing, L., Wollaber, A., & Yuen, J. (2019). A dataset to facilitate automated workflow analysis. PloS one, 14(2), e0211486.

Alsaqaf, W., Daneva, M., & Wieringa, R. (2017). Quality requirements in large-scale distributed agile projects–a systematic literature review. In Requirements Engineering: Foundation for Software Quality: 23rd International Working Conference, REFSQ 2017, Essen, Germany, February 27–March 2, 2017, Proceedings 23 (pp. 219-234). Springer International Publishing.

Armour, J., Gordon, J., & Min, G. (2020). Taking compliance seriously. Yale J. on Reg., 37, 1.

Ayyash, M. A. I. A. (2024). Implementing Agile and DevOps at Scale: Identifying Best Frameworks, Practices, and Success Factors (Doctoral dissertation, Al-Quds University).

Biswas, A., & Dutta, P. K. (2020, January). Novel approach of automation to risk management: The reduction in human errors. In International Conference on Mobile Computing and Sustainable Informatics (pp. 683-696). Cham: Springer International Publishing.

Block, S. (2023). How to adapt and implement a large-scale agile framework in your organization. In Large-Scale Agile Frameworks: Agile Frameworks, Agile Infrastructure and Pragmatic Solutions for Digital Transformation (pp. 65-168). Berlin, Heidelberg: Springer Berlin Heidelberg.

Boda, V. V. R. (2021). Keeping Patient Data Safe in the Cloud: A DevOps Approach. Journal of Innovative Technologies, 4(1).

Brkan, M. (2019). The essence of the fundamental rights to privacy and data protection: finding the way through the maze of the CJEU’s constitutional reasoning. German Law Journal, 20(6), 864-883.

Chavan, A. (2021). Eventual consistency vs. strong consistency: Making the right choice in microservices. International Journal of Software and Applications, 14(3), 45-56. https://ijsra.net/content/eventual-consistency-vs-strong-consistency-making-right-choice-microservices

Chavan, A. (2021). Exploring event-driven architecture in microservices: Patterns, pitfalls, and best practices. International Journal of Software and Research Analysis. https://ijsra.net/content/exploring-event-driven-architecture-microservices-patterns-pitfalls-and-best-practices

Ciervo, J., Shen, S. C., Stallcup, K., Thomas, A., Farnum, M. A., Lobanov, V. S., & Agrafiotis, D. K. (2019). A new risk and issue management system to improve productivity, quality, and compliance in clinical trials. JAMIA open, 2(2), 216-221.

Dhanagari, M. R. (2024). MongoDB and data consistency: Bridging the gap between performance and reliability. Journal of Computer Science and Technology Studies, 6(2), 183-198. https://doi.org/10.32996/jcsts.2024.6.2.21

Dona, K. L., & Nilindi, C. (2021). Technology Enabling Requirements Engineer’s Collaboration: The Case of Jira.

Fanto, J. (2016). Dashboard Compliance: Benefit, Threat, or Both. Brook. J. Corp. Fin. & Com. L., 11, 1.

Goel, G., & Bhramhabhatt, R. (2024). Dual sourcing strategies. International Journal of Science and Research Archive, 13(2), 2155. https://doi.org/10.30574/ijsra.2024.13.2.2155

Jawed, M. (2019). Continuous security in DevOps environment: Integrating automated security checks at each stage of continuous deployment pipeline (Doctoral dissertation, Wien).

Kamath, D. (2023). Improving Agile Development Practices.

Kamdjoug, J. R. K., Sando, H. D., Kala, J. R., Teutio, A. O. N., Tiwari, S., & Wamba, S. F. (2024). Data analytics-based auditing: a case study of fraud detection in the banking context. Annals of Operations Research, 340(2), 1161-1188.

Karwa, K. (2024). The role of AI in enhancing career advising and professional development in design education: Exploring AI-driven tools and platforms that personalize career advice for students in industrial and product design. International Journal of Advanced Research in Engineering, Science, and Management. https://www.ijaresm.com/uploaded_files/document_file/Kushal_KarwadmKk.pdf

Konneru, N. M. K. (2021). Integrating security into CI/CD pipelines: A DevSecOps approach with SAST, DAST, and SCA tools. International Journal of Science and Research Archive. Retrieved from https://ijsra.net/content/role-notification-scheduling-improving-patient

Koop, J. (2020). Automated Jira Data Analysis for Optimised Project Supervision and Delay Detection.

Kulkarni, V., Sunkle, S., Kholkar, D., Roychoudhury, S., Kumar, R., & Raghunandan, M. (2021). Toward automated regulatory compliance. CSI Transactions on ICT, 9, 95-104.

Kumar, A. (2019). The convergence of predictive analytics in driving business intelligence and enhancing DevOps efficiency. International Journal of Computational Engineering and Management, 6(6), 118-142. Retrieved from https://ijcem.in/wp-content/uploads/THE-CONVERGENCE-OF-PREDICTIVE-ANALYTICS-IN-DRIVING-BUSINESS-INTELLIGENCE-AND-ENHANCING-DEVOPS-EFFICIENCY.pdf

Loukkaanhuhta, M. (2021). Transforming technical IT security architecture to a cloud era.

Mishachandar, B., Vairamuthu, S., & Pavithra, M. (2021). A data security and integrity framework using third-party cloud auditing. International Journal of Information Technology, 13(5), 2081-2089.

Mohammed, A. (2023). SOC Audits in Action: Best Practices for Strengthening Threat Detection and Ensuring Compliance. Baltic Journal of Engineering and Technology, 2(1), 62-69.

Mohammed, I. A. (2018). A methodical mapping on the relationship between DevOps and software quality. International Journal of Creative Research Thoughts (IJCRT) www. ijcrt. org, ISSN, 2320-2882.

Moore, W., & Frye, S. (2019). Review of HIPAA, part 1: history, protected health information, and privacy and security rules. Journal of nuclear medicine technology, 47(4), 269-272.

Nygard, M. (2018). Release it!: design and deploy production-ready software.

Plant, O. H. (2019). DevOps under control: development of a framework for achieving internal control and effectively managing risks in a DevOps environment (Master's thesis, University of Twente).

Raju, R. K. (2017). Dynamic memory inference network for natural language inference. International Journal of Science and Research (IJSR), 6(2). https://www.ijsr.net/archive/v6i2/SR24926091431.pdf

Rasiman, R. S. (2021). A machine learning approach for requirements traceability in model-driven development (Master's thesis).

Rehman, N. (2021). Automating Privileged Access Controls to Meet HIPAA and GxP Standards in Healthcare.

Root, V. (2019). The compliance process. Ind. LJ, 94, 203.

Russell, C. S. (2016). Monitoring and enforcement. In Public policies for environmental protection (pp. 243-274). Routledge.

Saarela, A. (2017). Deployment of the agile risk management with Jira into complex product development ecosystem (Bachelor's thesis, A. Saarela).

Sangaroonsilp, P. (2024). Supporting the Development and Management of Privacy-Aware Software Applications (Doctoral dissertation, University of Wollongong).

Sarder, R. (2016). Building an innovative learning organization: A framework to build a smarter workforce, adapt to change, and drive growth. John Wiley & Sons.

Schembera, S., Haack, P., & Scherer, A. G. (2023). From compliance to progress: A sensemaking perspective on the governance of corruption. Organization Science, 34(3), 1184-1215.

Schmid, S. J., Moder, L., Hofmann, P., & Röglinger, M. (2023). Everything at the proper time: Repairing identical timestamp errors in event logs with Generative Adversarial Networks. Information Systems, 118, 102246.

Seth, S., & Bagalkoti, V. (2019). JIRA report extraction.

Shackelford, S. J., Raymond, A., Charoen, D., Balakrishnan, R., Dixit, P., Gjonaj, J., & Kavi, R. (2017). When toasters attack: A polycentric approach to enhancing the security of things. U. Ill. L. Rev., 415.

Singh, V., Oza, M., Vaghela, H., & Kanani, P. (2019, March). Auto-encoding progressive generative adversarial networks for 3D multi object scenes. In 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT) (pp. 481-485). IEEE. https://arxiv.org/pdf/1903.03477

Singh, V., Unadkat, V., & Kanani, P. (2019). Intelligent traffic management system. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 7592-7597. https://www.researchgate.net/profile/Pratik-Kanani/publication/341323324_Intelligent_Traffic_Management_System/links/5ebac410299bf1c09ab59e87/Intelligent-Traffic-Management-System.pdf

Sukhadiya, J., Pandya, H., & Singh, V. (2018). Comparison of Image Captioning Methods. INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH, 6(4), 43-48. https://rjwave.org/ijedr/papers/IJEDR1804011.pdf

Suleski, T., Ahmed, M., Yang, W., & Wang, E. (2023). A review of multi-factor authentication in the Internet of Healthcare Things. Digital Health, 9, 20552076231177144.

Thompson, E. C. (2020). Designing a HIPAA-Compliant Security Operations Center. In Designing a HIPAA-Compliant Security Operations Center (pp. 65-92). Apress Berkeley, CA, USA.

Tistelgrén, S. (2023). Utilizing Jira automation tools as a part of value chain in incident management.

Tourani, R., Misra, S., Mick, T., & Panwar, G. (2017). Security, privacy, and access control in information-centric networking: A survey. IEEE communications surveys & tutorials, 20(1), 566-600.

Tripathi, A. (2023). Provisioning Secure Cloud Environment Using Policy-as-code and Infrastructure-as-code (Doctoral dissertation, Dublin, National College of Ireland).

Waghmare, C. (2019). Augmenting Customer Experience with SharePoint Online: Building Portals and Practices to Improve Usability. Apress.

Wang, K., Zipperle, M., Becherer, M., Gottwalt, F., & Zhang, Y. (2020). An AI-based automated continuous compliance awareness framework (CoCAF) for procurement auditing. Big Data and Cognitive Computing, 4(3), 23.

Zayas-Cabán, T., Haque, S. N., & Kemper, N. (2021). Identifying opportunities for workflow automation in health care: lessons learned from other industries. Applied Clinical Informatics, 12(03), 686-697.

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Automating ITSM Compliance (GDPR/SOC 2/HIPAA) in Jira Workflows: A Framework for High-Risk Industries. (2025). International Journal of Data Science and Machine Learning, 5(01), 98-126. https://doi.org/10.55640/ijdsml-05-01-14