Trustworthy Deployment of LLM-Based RAG Systems for Small Businesses: A Security and Confidence-Aware Framework †

Abstract

Small and medium-sized enterprises (SMEs) are increasingly deploying Large Language Model (LLM)-based agentic systems to support customer service and internal knowledge management. However, practical deployment of retrievalaugmented generation (RAG) systems continues to be challenging due to promptinjection risks, unreliable confidence estimation, and limited operational resources in real-world SME environments. This paper presents a secure and confidenceaware deployment framework for SME-orient

Categories

@article{wang2026trustworthy,
  title = {{Trustworthy Deployment of LLM-Based RAG Systems for Small Businesses: A Security and Confidence-Aware Framework †}},
  author = {Qingqing Wang and Jiazhu Xie and Bowen Li and Zi-Qi Xu and Fengling Han},
  year = {2026},
  month = aug,
  journal = {Pragmatic Cybersecurity},
  doi = {10.53941/pc.2026.100008},
  url = {https://www.semanticscholar.org/paper/c5aa804b63c29e3fcd6f7889f9086b2ef7aae71b}
}