The DML model is a machine learning-based approach to detect and prevent data breaches. It uses a combination of natural language processing and machine learning algorithms to identify potential security threats and anomalies in an organization's data. The DML model is designed to be highly accurate and efficient, allowing it to quickly and effectively detect potential security threats and prevent data breaches. The model is trained on a large dataset of known security threats and anomalies, allowing it to learn and adapt to new and emerging threats. The DML model is a powerful tool for organizations looking to improve their data security and prevent data breaches.
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