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#security-operations News & Analysis

3 articles tagged with #security-operations. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles
AINeutralarXiv โ€“ CS AI ยท 4d ago6/10
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Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit

A research study analyzing 892 Reddit posts from cybersecurity forums reveals how security practitioners currently use, perceive, and adopt large language models in Security Operations Centers. While practitioners leverage LLMs for productivity gains in low-risk tasks, significant concerns about reliability, verification overhead, and security risks prevent broader autonomous deployment in critical security operations.

AIBullisharXiv โ€“ CS AI ยท Mar 36/107
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LiaisonAgent: An Multi-Agent Framework for Autonomous Risk Investigation and Governance

Researchers introduce LiaisonAgent, an autonomous multi-agent cybersecurity system built on the QWQ-32B reasoning model that automates risk investigation and governance for Security Operations Centers. The system achieves 97.8% success rate in tool-calling and 95% accuracy in risk judgment while reducing manual investigation overhead by 92.7%.

AIBullisharXiv โ€“ CS AI ยท Feb 276/106
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Towards Small Language Models for Security Query Generation in SOC Workflows

Researchers developed a three-stage framework using Small Language Models (SLMs) to automatically translate natural language queries into Kusto Query Language (KQL) for cybersecurity operations. The approach achieves high accuracy (98.7% syntax, 90.6% semantic) while reducing costs by up to 10x compared to GPT-4, potentially solving bottlenecks in Security Operations Centers.