paperJuly 2026Unreviewed

Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models

Hugo García Cuesta, Pablo Mateo Torrejón, Alfonso Sánchez-Macián

Abstract

While Large Language Models (LLMs) have become essential productivity tools, their integration into workflows without adequate safeguards creates significant risks. This paper proposes an open-source, privacy-focused, user-facing firewall designed to secure both web-based and programmatic LLM interactions. The architecture combines a browser extension and a proxy for total traffic interception across both HTTP(S) and WebSocket communications. At its core, a flexible multi-agent pipeline delivers

Cite

@misc{cuesta2026multiagent,
  title = {{Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models}},
  author = {Hugo García Cuesta and Pablo Mateo Torrejón and Alfonso Sánchez-Macián},
  year = {2026},
  month = jul,
  eprint = {2607.08282},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.08282}
}