Automating ITSM Compliance (GDPR/SOC 2/HIPAA) in Jira Workflows: A Framework for High-Risk Industries
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.
Authors
- Srilatha Samala
Institutions
- Institute of Semitic Studies (US)
Publication Details
- Journal
- International journal of data science and machine learning.
- Published
- 2025-04-28
- DOI
- https://doi.org/10.55640/ijdsml-05-01-14
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00