SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center
Paper recorded by Signals 4 on 2026-09-03 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-03 on arXiv · recorded by Signals 4 on 2026-09-04
Category: cs.AI · 人工智能 · first seen 2026-09-04
Abstract
Large language model (LLM) agents are increasingly proposed as autonomous SOC analysts, but two limitations make them unreliable at enterprise scale: a finite context window cannot hold a multi-thousand-host authentication graph, and free-form generation offers no guarantee that a recommended containment action is consistent with the topology it operates on. We present Sentinel-RL, an agentic-SOC
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Cite this page: SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center: the #192 most recent of 300 cs.AI papers we have recorded (as of 2026-09-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sentinel-rl-offloading-topological-reasoning-from-llm-agents-in-the-security-ope.html
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