# LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

**Authors:**  Reworr, Dmitrii Volkov  
**arXiv:** [2410.13919](https://arxiv.org/abs/2410.13919)  
**Date:** 2024-10-17  
**Summary page:** https://www.summarizepaper.com/fr/paper/2410.13919v1/

## Abstract

We introduce the LLM Honeypot, a system for monitoring autonomous AI hacking agents. We deployed a customized SSH honeypot and applied prompt injections with temporal analysis to identify LLM-based agents among attackers. Over a trial run of a few weeks in a public environment, we collected 800,000 hacking attempts and 6 potential AI agents, which we plan to analyze in depth in future work. Our objectives aim to improve awareness of AI hacking agents and enhance preparedness for their risks.