Security Risk Assessment and Layered Protection Strategies for Large Language Model Banking Chatbots with Privacy Considerations

Abstract

Abstract But now, given the AI revolution and increased interest in bringing virtual agents and assistants to life banks too are testing LLM-powered AI agents that may assist customers, explain and customize products as well as simplify operational work done by bank employees in the background. But similar systems are susceptible to prompt injection, insecure output handling, and other LLM-specific threats that had only become more prevalent since these publications. Existing surveys and framewo

Categories

Framework mappings

Suggested from the entry's categories.

@article{eltayeb2026security,
  title = {{Security Risk Assessment and Layered Protection Strategies for Large Language Model Banking Chatbots with Privacy Considerations}},
  author = {Galal Eltayeb and Abdalilah Alhalangy},
  year = {2026},
  month = jul,
  journal = {The Scholar Journal for Sciences \& Technology},
  doi = {10.53348/jsst5st8},
  url = {https://doi.org/10.53348/jsst5st8}
}