Enhancing Role-Based Access Control (RBAC) in Dataverse for Secure Enterprise Applications – Analyzing Advanced Security Models and Governance for Power Apps and Dynamics 365 CRM

The purpose of this research is to enhance Role Based Access Control (RBAC) in Microsoft Dataverse to achieve secure deployment of enterprise application in Power Apps and Dynamics 365 CRM. The study shows this by integrating the integration of an advanced security model such as Authorizing Workflow Task RBAC (AW-TRBAC), AI driven threat detection and dynamic separation of duties to result in dramatic improvements in governance of access, anomaly detection and operational efficiency. The paper presents scalable solutions to the identified limitations of traditional RBAC using quantitative analysis and in the case of real-world enterprise. These results indicate that the RBAC models with enhanced capabilities help strengthen the compliance and data security of business and also allow for flexible and context aware access control to be used for helping the business grow.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-30
DOI
https://doi.org/10.52783/jisem.v10i41s.9747
Primary Topic
Access Control and Trust
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Role-Based Access Control (RBAC) in Dataverse for Secure Enterprise Applications – Analyzing Advanced Security Models and Governance for Power Apps and Dynamics 365 CRM

Sarat Piridi Satyanarayana Asundi
Journal of Information Systems Engineering & Management
Access Control and Trust
article

Enhancing Role-Based Access Control (RBAC) in Dataverse for Secure Enterprise Applications – Analyzing Advanced Security Models and Governance for Power Apps and Dynamics 365 CRM

Sarat Piridi Satyanarayana Asundi
article en

Abstract

The purpose of this research is to enhance Role Based Access Control (RBAC) in Microsoft Dataverse to achieve secure deployment of enterprise application in Power Apps and Dynamics 365 CRM. The study shows this by integrating the integration of an advanced security model such as Authorizing Workflow Task RBAC (AW-TRBAC), AI driven threat detection and dynamic separation of duties to result in dramatic improvements in governance of access, anomaly detection and operational efficiency. The paper presents scalable solutions to the identified limitations of traditional RBAC using quantitative analysis and in the case of real-world enterprise. These results indicate that the RBAC models with enhanced capabilities help strengthen the compliance and data security of business and also allow for flexible and context aware access control to be used for helping the business grow.

Journal of Information Systems Engineering & ManagementVol. 10(41s)
Openalex Percentile: Top 84%
Access Control and Trust
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