A Security Analysis of Long-Horizon Agentic AI Systems: Threats, Evaluation, and Framework Development

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