arXiv:2611.10612v1 Announce Type: new Abstract: As enterprise systems grow in scale and complexity, manual log analysis and conventional SIEM tools struggle to keep pace with the volume and diversity of incidents. To address this challenge, this paper proposed a multi-agent AI framework supporting in analyzing the system log to trace the attack forensic in the system more effectively and efficiently.
An Agentic Multi-Agent Framework for System Log Anomaly Detection
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