An LLM ensemble achieves 82.8% threat detection accuracy and 0.12 FPR; SQM query generation doubles baseline BLEU/ROUGE scores; retrieval augmentation raises resolution accuracy from 78.3% to 90%; triage time drops to under 10 minutes in claimed production use.
Toward robust security orchestration and automated response in security operations centers with a hyper-automation approach using agentic artificial intelligence
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Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations
An LLM ensemble achieves 82.8% threat detection accuracy and 0.12 FPR; SQM query generation doubles baseline BLEU/ROUGE scores; retrieval augmentation raises resolution accuracy from 78.3% to 90%; triage time drops to under 10 minutes in claimed production use.