Imagine your AI agent getting hijacked by a prompt-injection attack without you knowing. I'm the founder and maintainer of Beelzebub, an open-source project that hides "honeypot" functions inside your agent using MCP. If the model calls them... BEEP! You get an instant compromise alert, with detailed logs for quick investigations.
Zero false positives: Only real calls trigger the alarm.
Plug-and-play telemetry for tools like Grafana or ELK Stack.
Guard-rails fine-tuning: Every real attack strengthens the guard-rails with human input.
Imagine your AI agent getting hijacked by a prompt-injection attack without you knowing. I'm the founder and maintainer of Beelzebub, an open-source project that hides "honeypot" functions inside your agent using MCP. If the model calls them... BEEP! You get an instant compromise alert, with detailed logs for quick investigations.
Zero false positives: Only real calls trigger the alarm.
Plug-and-play telemetry for tools like Grafana or ELK Stack.
Guard-rails fine-tuning: Every real attack strengthens the guard-rails with human input.
Read the full write-up → https://beelzebub-honeypot.com/blog/securing-ai-agents-with-...
What do you think? Is it a smart defense against AI attacks, or just flashy theater? Share feedback, improvement ideas, or memes.
I'm all ears!