AgenticVM reduces vulnerability scanner alerts by up to 98% and predicts missing CVSS attributes with 89.3% accuracy using a multi-agent LLM framework integrated with security tools and public databases.
” i think this is the most disruptive technology
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Domain-specific models like ChatDoctor excel at medically accurate and contextually reliable text while general-purpose models like Grok and LLaMA perform better on structured medical question-answering tasks.
citing papers explorer
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AgenticVM: Agentic AI for Adaptive Software Vulnerability Management
AgenticVM reduces vulnerability scanner alerts by up to 98% and predicts missing CVSS attributes with 89.3% accuracy using a multi-agent LLM framework integrated with security tools and public databases.
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Comparative Analysis of Large Language Models in Healthcare
Domain-specific models like ChatDoctor excel at medically accurate and contextually reliable text while general-purpose models like Grok and LLaMA perform better on structured medical question-answering tasks.