paperSeptember 2025Unreviewed

Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems

Diego Gosmar, Deborah A. Dahl

arXiv.org

Abstract

This paper proposes a novel architectural framework aimed at enhancing security and reliability in multi-agent systems (MAS). A central component of this framework is a network of Sentinel Agents, functioning as a distributed security layer that integrates techniques such as semantic analysis via large language models (LLMs), behavioral analytics, retrieval-augmented verification, and cross-agent anomaly detection. Such agents can potentially oversee inter-agent communications, identify potentia

Cite

@misc{gosmar2025sentinel,
  title = {{Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems}},
  author = {Diego Gosmar and Deborah A. Dahl},
  year = {2025},
  month = sep,
  eprint = {2509.14956},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2509.14956},
  url = {https://www.semanticscholar.org/paper/296c6954e9fe7e5b48fe2dfadc6a23b4310b1bab}
}