LLM Agent Honeypot: Monitoring AI Hacking Agents in the Wild

The continuous evolution of AI capabilities and agent frameworks is gradually increasing the potential for AI-driven cyberattacks. These advancements make it possible to create autonomous agents capable of adapting to diverse environments and executing complex attack behaviors. This paper introduces LLM Agent Honeypot, a system for capturing and analyzing in-thewild LLM-based cyberattacks using prompt injections and temporal analysis aimed at improving preparedness for AI-driven threats. Its dashboard is available online at https://ai-honeypot. palisaderesearch.org/.