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

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

RANK_REASON Academic paper detailing a novel agentic RAG pipeline for SIEM rule conversion.

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

• paper
• product