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Survey details LLM agents' dual role in cybersecurity

A new survey paper published on arXiv details the dual role of LLM agents in cybersecurity. It explores how these agents can be both targets of attacks and powerful tools for enhancing cybersecurity efforts. The paper categorizes threats to LLM agents and proposes mitigation strategies, while also examining their application in offensive and defensive cybersecurity operations. The authors highlight a synergistic relationship where improving LLM agent self-security can bolster their effectiveness in cybersecurity, and vice versa. AI

IMPACT This survey provides a framework for understanding and developing LLM agents that are both secure and effective cybersecurity tools.

RANK_REASON The item is a survey paper published on arXiv detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Survey details LLM agents' dual role in cybersecurity

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yiwei Xu, Yong Zhuang, Xuanming Liu, Tian Zhang, Bowen Xiao, Xiaoyang Xu, Delong Jiang, Juan Wang, Hongxin Hu ·

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

    arXiv:2606.28450v1 Announce Type: cross 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 pr…