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Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing
Large language model (LLM) based agents are increasingly applied to cybersecurity tasks such as vulnerability discovery and automated penetration testing. On long-horizon security tasks, however, such agents remain limited by context forgetting and intent drift: early critical facts and causal reaso
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