A queueing model of attack surfaces validated on supply-chain data shows AI automation can raise exploit rates and an RL policy cuts active vulnerabilities by over 90% without extra budget.
Gradsafe: Detecting unsafe prompts for llms via safety-critical gradient analysis,
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A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense
A queueing model of attack surfaces validated on supply-chain data shows AI automation can raise exploit rates and an RL policy cuts active vulnerabilities by over 90% without extra budget.