mayankmishra22-Cybersecurity-Incident-Classification-with-Machine-Learning
The model is designed to classify cybersecurity incidents into three categories: True Positive (TP), Benign Positive (BP), and False Positive (FP). It leverages machine learning techniques to enhance the efficiency of Security Operation Centers (SOCs) by automating the triage process.
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