AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways

计算机科学 钥匙(锁) 计算机安全 数据科学
作者
Zehang Deng,Yongjian Guo,Changzhou Han,Wanlun Ma,Junwu Xiong,Sheng Wen,Yang Xiang
出处
期刊:ACM Computing Surveys [Association for Computing Machinery]
卷期号:57 (7): 1-36 被引量:149
标识
DOI:10.1145/3716628
摘要

An Artificial Intelligence (AI) agent is a software entity that autonomously performs tasks or makes decisions based on pre-defined objectives and data inputs. AI agents, capable of perceiving user inputs, reasoning and planning tasks, and executing actions, have seen remarkable advancements in algorithm development and task performance. However, the security challenges they pose remain under-explored and unresolved. This survey delves into the emerging security threats faced by AI agents, categorizing them into four critical knowledge gaps: unpredictability of multi-step user inputs, complexity in internal executions, variability of operational environments, and interactions with untrusted external entities. By systematically reviewing these threats, this article highlights both the progress made and the existing limitations in safeguarding AI agents. The insights provided aim to inspire further research into addressing the security threats associated with AI agents, thereby fostering the development of more robust and secure AI agent applications.
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