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Data Redaction: What it is, Examples, Techniques and Use Cases
Data redaction is the process of hiding and protecting sensitive information by using advanced analytics techniques such as Natural Language Processing (NLP) and Named Entity Recognition (NER). Sometimes it is also misinterpreted as data anonymization. But in data anonymization, the information is masked, whereas in data redaction the information is completely removed. There are different data anonymization tools available to anonymize data, depending on what type of data you need to anonymize.
Data Redaction: What it is, Examples, Techniques and Use Cases
Data redaction is the process of hiding and protecting sensitive information by using advanced analytics techniques such as Natural Language Processing (NLP) and Named Entity Recognition (NER). Sometimes it is also misinterpreted as data anonymization. But in data anonymization, the information is masked, whereas in data redaction the information is completely removed. There are different data anonymization tools available to anonymize data, depending on what type of data you need to anonymize.