HoneyTrap: A Multi-Agent Honeypot That Misleads AI Attackers

Kari Jaaskelainen

08 Jan 2026 — 1 min read

Jailbreak attacks on chatbots keep evolving. HoneyTrap is a new defense that doesn’t just refuse—it deceives attackers.

How it works: Four cooperating agents—Threat Interceptor, Misdirection Controller, Forensic Tracker, and System Harmonizer—detect risky prompts, steer attackers into safe decoys, trace tactics, and keep normal users unaffected.
Put to the test: The team built MTJ-Pro, a multi-turn dataset with seven progressive jailbreak strategies, plus two metrics: Mislead Success Rate (MSR) and Attack Resource Consumption (ARC).
Why it matters: Across GPT-4, GPT-3.5-turbo, Gemini 1.5 Pro, and LLaMA-3.1, HoneyTrap cut successful jailbreaks by 68.77% vs top baselines and boosted MSR and ARC by 118% and 149%. Even against adaptive attackers, it prolongs the fight—raising time and compute costs—without hurting benign queries.

Strategic deception > simple blocks. Full paper: https://arxiv.org/abs/2601.04034v1

Paper: https://arxiv.org/abs/2601.04034v1

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#AI #Security #LLM #Cybersecurity #Honeypot #Jailbreak #ResponsibleAI #MultiAgent #AISafety #Research

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