Contextual Analysis for Response Optimization in Security Operations Centers with AI-Powered Incident Prioritization
Keywords:
Security Operations Centers, Artificial Intelligence, Incident Prioritization, Contextual AnalysisAbstract
Advances in cybersecurity overwhelm SOCs. This problem needs AI-powered event prioritization to improve response tactics. This research implies contextual AI analysis may help SOCs prioritize issues. SOCs may use machine learning, NLP, and other AI to analyze and respond to security issues. The scientific basis of incident prioritization AI models, contextual analysis's involvement in security incidents, and their effective implementation are discussed in this article. The documents detail SOC AI adoption issues and provide AI technological guidance. Research suggests SOC AI-powered incident prioritization systems may adapt to shifting cybersecurity threats.
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