Intelligent and Secure Data Access for Non-IT Staff: AI-Powered NLP with Advanced Cybersecurity Controls

Abstract

Data is key to every organization in making informed decisions and more often than note, access to data is expected to be timely and with less challenges. Unfortunately, non-IT staff struggle to access data easily and have to rely on IT staff who are often overloaded with redundant data requests. Conventional data access tools such can be limited and sometimes require IT skills to effectively use them. This creates a need to find a solution that can help non-IT staff who are the main users of data to access data easily without the need for sophisticated systems that need too much technical know-how. AI has significantly improved and has shown potential to solve the problem of data access by non-IT staff through natural language process. Much as AI can solve data access problem, it poses security concerns which ought to be addressed before AI can be used for easy data access. This study collected data from both IT and non-IT staff to understand data access challenges, impracticality for IT to timely attend to ad hoc and redundant data requests, openness to AI solutions and any concerns. Data collected reviewed that 64% of 37 non-IT staff had challenges in data access, 80% were open to AI solutions and 68% had security concerns with AI. A prototype was developed to show feasibility of the system and the results from the tests carried out showed that the solution is feasible and able to solve the problems of data access.