Unmonitored Legacy Data Identification

Abstract: Legacy systems often suffer from a lack of clear ownership of code files and documents, leading to significant challenges in maintenance, security, and operational stability. Without defined accountability, it becomes difficult to track changes, address bugs, and implement necessary updates, increasing the risk of security vulnerabilities due to outdated or deprecated components. This project introduces a systematic approach for identifying unmonitored legacy data, categorizing unmaintained files, and establishing an efficient management framework. The proposed solution leverages automated techniques to analyze file metadata, assess modification patterns, and determine ownership attribution. Additionally, the system generates reports on unmaintained code and unmanaged documents, facilitating informed decision-making for risk mitigation. By implementing structured file ownership and maintenance protocols, organizations can enhance system security, improve operational efficiency, and ensure long-term software sustainability.

Keywords: Unmonitored, Legacy Data, Metadata, Unmaintained Files.