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arXiv — cs.AI

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标题为英语LanG 2.0: Energy-Efficient Agentic AI for Semi-Automated Security Operations at Scale

arXiv:2610.41072v1 Announce Type: new Abstract: Security operations centers (SOCs) need to turn terabytes of alerts, logs and flows into trusted, affordable decisions to unveil hidden threats. We present LanG 2.0, an agentic system that detects threats, correlates evidence and…

arXiv — cs.AI作者: Anes Abdennebi, Nadjia Kara, Laaziz Lahlou, Hakima Ould-Slimane2026年11月2日 (2小时前)
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  • arXiv:2610.41072v1 Announce Type: new Abstract: Security operations centers (SOCs) need to turn terabytes of alerts, logs and flows into trusted, affordable decisions to unveil hidden threats
  • We present LanG 2.0, an agentic system that detects threats, correlates evidence and…
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LanG 2.0: Energy-Efficient Agentic AI for Semi-Automated Security Operations at Scale

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