How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification
Thales Cloud Protection & Licensing
DECEMBER 11, 2023
Traditional approaches to data classification use manual tagging which is labor-intensive, error-prone, and not easily scalable. ML builds on different types of models for different purposes, for example categorization to determine a document category or Named Entity Recognition (NER) to identify sensitive data across diverse locations.
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