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AI Researchers Target SIEM Migration Bottleneck
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AI Researchers Target SIEM Migration Bottleneck

System Translates Detection Rules Across Security Platforms. Researchers developed an AI framework that converts threat detection rules between major SIEM platforms including Splunk, Microsoft Sentinel and QRadar. The system uses LLMs and automated validation steps to preserve detection logic during migrations that often require months of manual work.

First seen on govinfosecurity.com

Jump to article: www.govinfosecurity.com/ai-researchers-target-siem-migration-bottleneck-a-31650

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