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paperJune 2026Unreviewed

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

Ahmed Mohammed Almalki, Mehedi Masud

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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

Categories

Agentic Threats

Cite

@misc{almalki2026security,
  title = {{A Security Analysis of Long-Horizon Agentic AI Systems: Threats, Evaluation, and Framework Development}},
  author = {Ahmed Mohammed Almalki and Mehedi Masud},
  year = {2026},
  month = jun,
  eprint = {2606.14816},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.14816}
}