Can AI Solve SIEM Rule Sprawl Across Multiple Vendors
🤖 Enterprises migrating between SIEM platforms face repetitive, error-prone rule rewrites because vendors like Splunk, Microsoft Sentinel, IBM QRadar, and Google Chronicle use distinct query languages and data models. Researchers from the National University of Singapore propose ARuleCon, an AI-assisted framework that translates rules while preserving detection intent. In tests on nearly 1,500 conversions it improved accuracy about 10–15% over baseline LLM approaches. Practitioners caution that deterministic engineering, robust validation, and human oversight remain essential to avoid semantic drift and operational risk.
