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Forecasting Cybersecurity Incidents Using Geopolitical Data and Large Language Models
Predicting security incidents is a profound task critical for informing proactive defensive measures and cyber-insurance policies. Prior work tackling this problem mainly utilized structured, manually defined features based on network measurements (e.g., protocol misconfigurations). Still, despite l
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