Additional security layer at the data level. Anonymized or pseudonymized information has no practical value if it is stolen through a security breach or exposed by human errors.
Comply with current regulatory requirements regarding privacy and data protection in the differentes regulatory frameworks: GDPR, CCPA, LGPD etc.
Allows advanced data analytics mitigating the risk of data exposure, ensuring data protection both in production and in test environments.
Anonymization allows the personal data to be completely disassociated from the identifying data. In this way, it is not possible to relate the person who owns the data with the information stored.
Pseudonymization makes it possible to identify a subject in relation to store data without including the reference word data. It allows the processing of personal data without the identification data of interested party, but without eliminating the link between the two.