In today’s world, it’s really important to keep employee data safe in ERP systems. This study looks at how to protect data in Human Capital Management (HCM) systems, focusing on how Workday keeps information secure. The paper explains how Workday’s security features, like customizable settings and role-based permissions, help protect company data. It also looks at how Workday follows international rules to make sure data stays safe. The study talks about two main types of security policies: domain security and business process security. Domain security decides who can see or use certain data. Business process security controls how users interact with important tasks, like hiring and payroll. Both policies work together to keep data safe and make sure good security practices are followed. The paper also points out the importance of setting up security controls that match the company’s needs. It also stresses that companies need to regularly check and update their security systems to keep data safe. The study shows that Workday’s security system does a good job of reducing risks in ERP-based HCM systems. But there are still challenges, like dealing with complex data, managing security, and connecting different systems. The paper offers advice on how to handle these problems. It also says that training programs are needed to help employees understand how to use the system properly. The paper suggests using role-based access to improve security. Looking to the future, it recommends using AI and machine learning to spot threats early and manage who can access sensitive data. By using these tools and improving security rules, companies can make their ERP systems even safer. Lastly, the paper gives practical tips for organizations to improve their security using Workday’s features.

ERP security, Human Capital Management, Workday, data security, role-based permissions, domain security policies

Psicosmart. (2024). The Role of ERP Software in Enhancing HR Data Security: Best Practices and Innovations. Psicosmart. https://psicosmart.net/blogs/blog-the-role-of-erp-software-in-enhancing-hr-data-security-best-practices-and-innovations-224909.

Metha, Shubham. 2025. “AI-Driven Fraud Detection: A Risk Scoring Model for Enhanced Security in Banking”. Journal of Engineering Research and Reports 27 (3):23-34. 10.9734/jerr/2025/v27i31415

Mittal, Prakhar; AI-Powered Product Analytics in Med Tech Product Development -From Raw Data to Actionable Insights https://africanjournalofbiomedicalresearch.com/index.php/AJBR/article/view/6577/5270 2024. https://doi.org/10.4314/ajbr.v27i1.7

Workday. (n.d.). Security and Privacy: Trusting Workday with Your Data. Workday. https://www.workday.com/en-us/why-workday/trust/security.html.

Mittal, Prakhar; Digital Transformation in Project Management Revolutionizing Practices for Modern Execution. Project Management Information Systems: Empowering Decision Making and Execution1205-2322025. IGI Global, 10.4018/979-8-3373-0700-8.ch006

Yerra, S. (2025). The role of Azure Data Lake in scalable and high-performance supply chain analytics. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 3668–3673. https://doi.org/10.32628/cseit25112483

Bowman, K. (2025). What is ERP Data Security. Pathlock. https://pathlock.com/learn/what-is-erp-data-security/.

Surety Systems. (2025). Workday Security Guide: How to Make the Most of It. Surety Systems. https://www.suretysystems.com/insights/workday-security-guide/.

Yerra, S. (2023). Leveraging python and machine learning for anomaly detection in order Tracking Systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 9(4), 500–506. https://doi.org/10.32628/cseit2311354

Mittal, P. (2024). Applying pumpkin lifecycle management as an analogy for product lifecycle management. International Journal of Science and Research (IJSR), 13(11), 1568–1569. https://doi.org/10.21275/sr241126004543

Vorecol. (2024). Strategies for Ensuring Data Security in HR ERP Implementation. Vorecol. https://vorecol.com/blogs/blog-strategies-for-ensuring-data-security-in-hr-erp-implementation-8412.

Workday. (n.d.). Compliance and Third-Party Assessments. Workday. https://www.workday.com/en-us/why-workday/trust/compliance.html.

Top10ERP. (2024). ERP Security Best Practices for Sensitive Data. Top10ERP. https://www.top10erp.org/blog/erp-security.

Reco. (2024). Configuring Workday Security and Role-Based Permissions. Reco. https://www.reco.ai/hub/configuring-workday-security-role-based-permissions.

Macha, Kiran Babu. (2023). ADVANCING CLOUD-BASED AUTOMATION: THE INTEGRATION OF PRIVACY-PRESERVING AI AND COGNITIVE RPA FOR SECURE, SCALABLE BUSINESS PROCESSES. 13. 14-43.

Schwarz, L. (2024). HCM & ERP: Differences & Benefits of Integration. NetSuite. https://www.netsuite.com/portal/resource/articles/erp/hcm-erp.shtml.

Workday. (2016). Workday Security. Workday. https://dev.mktg.workday.com/content/dam/web/en-us/documents/datasheets/datasheet-workday-security.pdf.

Shubham Metha. AI-Driven Promotion Platforms: Increasing Customer Engagement in Banking. Journal of Artificial Intelligence Research & Advances. 2025; 12(01):87-92. https://journals.stmjournals.com/joaira/article=2025/view=193238/.

Yerra, S. (2025). The role of Azure Data Lake in scalable and high-performance supply chain analytics. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(1), 3668–3673. https://doi.org/10.32628/cseit25112483

Macha, Kiran Babu. (2025). Integrating AI, ML, and RPA for end-to-end digital transformation in healthcare. World Journal of Advanced Research and Reviews. 25. 2116-2129. 10.30574/wjarr.2025.25.1.0264