Cybersecurity has become a critical concern in managing any size of organizations. Recent literature suggests that machine learning application is the most effective approach to big data and evaluation of external cyber threats. The aim of this research to evaluate external cyber threats using machine learning & artificial intelligence algorithms. Using cross-validation techniques increase the reliability and validity of the model. The results indicate that all AI algorithms achieve positive performance.
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