Data Masking
Data discovery tools provide tremendous business value, but they can also pose significant risks if data isn’t handled in the right way. While this technology can help users build and share information, many times the information contains unprotected personally identifiable data (e.g., Social Security numbers), sensitive personal data (e.g., medical records and procedures) and commercially sensitive data. Internal employees are the most common cause of data breaches, and data loss can result in customer and revenue loss, compliance fines, legal action and brand damage.
Data masking functionality enables analysts to easily and reliably remove or obscure confidential data with intuitive redaction capabilities without impacting its value in the analytics process. Using this feature, analysts can access, analyze and share critical data, even in heavily regulated industries like health care and financial services, without compromising customer and employee privacy.