Date of Conferral
2023
Degree
Doctor of Information Technology (D.I.T.)
School
Information Systems and Technology
Advisor
Yoseph Tsehay
Abstract
Artificial intelligence (AI) has become a growing field in information technology (IT). Cybersecurity managers are concerned that the lack of strategies to incorporate AI technologies in developing secure software for IT operations may inhibit the effectiveness of security risk mitigation. Grounded in the technology acceptance model, the purpose of this qualitative exploratory multiple case study was to explore strategies cybersecurity professionals use to incorporate AI technologies in developing secure software for IT operations. The participants were 10 IT professionals in the United States with at least 5 years of professional experience working in DevSecOps and managing teams of at least three DevSecOps professionals within the United States. Data were collected using semi structured interviews, and three themes were identified through thematic analysis: (a) implementation obstacles, (b) AI cloud implementation strategy, and (c) AI local implementation strategy. A specific recommendation for IT professionals is to identify knowledge gaps and security challenges in the DevSecOps pipeline to facilitate the necessary training. The implications for positive social include the potential to improve organizations' securities postures and, by extension, the societies and individuals they serve.
Recommended Citation
Ayidiya, Maurice, "AI Usage in Development, Security, and Operations" (2023). Walden Dissertations and Doctoral Studies. 13966.
https://scholarworks.waldenu.edu/dissertations/13966
