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Honeyquest for LLMs: Rethinking Cyber Deception for AI Attackers
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers adapted the Honeyquest framework to evaluate how 21 different LLM architectures respond to cyber deception and honeypots.
Open sourceOneBench interpretation
Institutional assessment
So what
Autonomous AI threats process deceptive network assets differently than human adversaries, altering how your cyber defense teams structure honeypots.
Do what
Brief your CISO's threat intelligence and red-teaming units to factor AI agent cognitive patterns into deception architecture evaluations.