🤖 AI Summary
Long-term autonomous AI systems currently lack systematic safety analyses and a unified evaluation framework. This work addresses this gap by conducting a comprehensive systematization of existing literature, developing a threat model, and constructing a taxonomy to propose the first security threat classification scheme and attack propagation analysis framework tailored specifically for such systems. By clarifying the landscape of extant threat types and their underlying propagation mechanisms, this study establishes a structured foundation and theoretical underpinning for future research and practical efforts aimed at enhancing the safety and robustness of long-term autonomous agents.
📝 Abstract
This paper presents a structured analysis of security challenges in long-horizon agentic AI systems. The study reviews existing threats, evaluation approaches, attack propagation mechanisms, and security frameworks. A taxonomy of security threats and a framework for analyzing attack propagation are proposed to support future research in agentic AI security