Singapore researchers use AI to translate security rules across SIEM platforms

Researchers from the National University of Singapore and Fudan University have developed a new technique called ARuleCon to translate security rules between different Security Information and Event Management (SIEM) systems. SIEMs are used by security operations centers (SOCs) to monitor log files and trigger alerts for potential security incidents. Because SIEM vendors use proprietary formats for their rules, a rule created for one system often won't work on another, leading to complexity for organizations using multiple SIEMs. ARuleCon utilizes an agentic retrieval-augmented generation pipeline and vendor-specific documentation to achieve more accurate cross-platform rule conversion than generic LLMs, aiming to reduce SOC workloads and facilitate SIEM consolidation. AI

影响 Could simplify security operations and reduce alert noise for organizations using multiple SIEM platforms.

排序理由 Academic paper detailing a novel agentic RAG pipeline for SIEM rule conversion.

在 The Register — AI 阅读 →

• ARuleCon
• Fudan University
• IBM QRadar
• Microsoft Sentinel
• Ming Xu
• National University of Singapore
• RSA NetWitness
• Security Information and Event Management
• SIEM
• Splunk
• SOC
• Google Chronicle

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