Enhancing Security and Transparency in Management Information Systems through Agent-Based Solutions

Abstract

Management Information Systems (MIS) are essential to support organizations in data-driven decision-making. With increasing complexity of data, multi-user access, and integration with external platforms, MIS face adversities inflicted upon them by security, privacy, and transparency. In this paper, we propose an agent-based architecture for enhancing activities within the MIS from security and transparency perspectives. Intelligent software agents monitor, authenticate, and verify data transactions above the level of the organization independently, guaranteeing that every action becomes subjected to tracing and is compliant with the policies of the organization. The proposed architecture involves coordination by ill-disposed and immutable logging inspired by blockchain, and rule-based detection of anomalies, to provide adaptive protection against internal threats and unauthorized modifications. Experimental simulation results show an overall enhancement of 37% in reducing unauthorized access to data events and an improvement of 46% in audit transparency in comparison with traditional MIS security frameworks.