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LLM Honeypot

Overview / Description

LLM Honeypot is an AI security tool that deploys a deceptive fake chatbot interface to detect and trap prompt injection attacks for security researchers and developers. It presents itself as a convincing enterprise-grade AI assistant — branded as 'CorpAI Assistant, Enterprise AI Chatbot v2.1.4 • Secure Connection' — to lure attackers into revealing prompt injection and jailbreak attempts rather than targeting real LLM-powered systems. The interface is a fully rendered web chatbot with a live counter that increments each time an attack is trapped, giving operators real-time visibility into adversarial activity. Because LLM Honeypot is open-source and self-hosted, teams retain full control over the decoy environment and the captured attack data, with no dependency on external cloud services. It is particularly useful for blue teams studying attacker behavior, researchers cataloguing emerging prompt injection techniques, and developers who want to understand the threat landscape before deploying production AI chatbots. The tool fills a gap in the AI security toolkit: most honeypots are designed for network intrusion, not for LLM-specific attack vectors such as indirect prompt injection, system-prompt extraction, and role-play jailbreaks. By absorbing these attacks in a controlled environment, LLM Honeypot lets teams build better defenses for real AI applications. Best for: security researchers, red/blue teams, and developers who want to study and capture real-world prompt injection attacks against LLM-powered systems.

Used For

prompt injection detection, jailbreak attack research, LLM security testing, AI red teaming, adversarial attack logging, cybersecurity research

Pricing

Plan

Free

Pricing not published — project is open-source; visit the website or repository for current deployment options

View pricing

Pros & Cons

Pros

  • Deploys a convincing fake enterprise chatbot ('CorpAI Assistant v2.1.4') to attract real prompt injection and jailbreak attempts
  • Live 'Attacks trapped' counter gives operators instant visibility into adversarial activity without manual log review
  • Fully open-source and self-hosted — captured attack data stays on your own infrastructure, no vendor access
  • Targets LLM-specific attack vectors (prompt injection, jailbreaks, system-prompt extraction) that traditional network honeypots miss
  • Lightweight web UI means deployment requires minimal infrastructure, suitable for researchers spinning up quickly

Cons

  • Pricing not published — project is open-source but managed hosting or commercial support options are not documented
  • Limited to trapping chatbot-style LLM attacks; does not cover other AI attack surfaces such as model poisoning or adversarial inputs to vision models
  • Self-hosting requires technical setup; there is no documented one-click cloud deployment option
  • Active development status and long-term maintenance commitment are unclear from published information

Questions & Answers

Alternatives

Beelzebub, Prompt Armor, Rebuff, LLM Guard, PromptFoo

LLM Honeypot | AI Tools Directory