ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Overview

ProbGuard learns symbolic Markov models from agent traces to predict future safety violations and trigger interventions. Autonomous-driving and household-agent experiments examine advance warnings and the trade-off between risk reduction and task completion.