paperJune 2026Unreviewed

LLM agents security duality: a comprehensive survey of self-security and empowered cybersecurity

Yiwei Xu, Yong Zhuang, Xuanming Liu, Tian Zhang, Bowen Xiao, Xiaoyang Xu, Delong Jiang, Juan Wang, Hongxin Hu

Abstract

Large language model (LLM) agents are rapidly being integrated into real-world systems. Their autonomy and tool-use capabilities generate substantial value while simultaneously expanding the security attack surface. This survey provides a comprehensive overview of the opportunities and challenges of LLM agents in security, focusing on two core areas: (1) threats to LLM agents themselves and corresponding mitigation strategies (LLM agents self-security), and (2) the role of LLM agents in empoweri

Cite

@misc{xu2026llm,
  title = {{LLM agents security duality: a comprehensive survey of self-security and empowered cybersecurity}},
  author = {Yiwei Xu and Yong Zhuang and Xuanming Liu and Tian Zhang and Bowen Xiao and Xiaoyang Xu and Delong Jiang and Juan Wang and Hongxin Hu},
  year = {2026},
  month = jun,
  eprint = {2606.28450},
  archivePrefix = {arXiv},
  doi = {10.1007/s10462-026-11563-0},
  url = {https://arxiv.org/abs/2606.28450}
}