A new multi-agent framework called VEXAIoT uses large language model (LLM) reasoning to autonomously discover and exploit vulnerabilities in Internet of Things (IoT) environments. Developed by Katherine Swinea and colleagues at Tennessee Tech University, the system achieved a 95.0% overall success rate across 260 attack executions. IoT devices remain a persistent security weak point because […]
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