From Adoption to Deployment: A Qualitative Study on AI Integration in Software Development Practice
The increasing adoption of Large Language Models (LLMs) as AI components in modern software systems introduces distinct security risks to the software supply chain. While many considerations and safety mechanisms are in place for components of the traditional software supply chain, the recent rapid adoption of AI components and platforms has overlooked these hard learned lessons. Selecting and integrating AI models without clear guidance on how these choices affect system security may leave applications vulnerable to threats, such as malicious components, data leakage, and unintended behavior. The goal of this study is to understand practitioners' decision making process and security cons...
| Authors | Mahzabin Tamanna, Elizabeth Lin, Sparsha Gowda et al. |
|---|---|
| Primary category | cs.SE |
| Published | 18 July 2026 |
| Last updated at source | 18 August 2026 |
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