Why do we need data anonymization?
Data anonymization seeks to protect private or sensitive data by deleting or encrypting personally identifiable information from a database. Data anonymization is done for the purpose of protecting an individual’s or company’s private activities while maintaining the integrity of the data gathered and shared.
What does data privacy mean?
Data privacy, also called information privacy, is the aspect of information technology (IT) that deals with the ability an organization or individual has to determine what data in a computer system can be shared with third parties.
What is anonymization GDPR?
Anonymisation is the process of removing personal identifiers, both direct and indirect, that may lead to an individual being identified. Once data is truly anonymised and individuals are no longer identifiable, the data will not fall within the scope of the GDPR and it becomes easier to use.
Is it possible to erasure personal data through anonymization?
In December 2018, the Austrian Data Protection Authority clarified that the erasure of personal data is also possible through anonymization. According to their privacy policies, a rising number of companies are using anonymization to store search log data]
What is privacypseudonymization and generalization?
Pseudonymization preserves statistical accuracy and data integrity, allowing the modified data to be used for training, development, testing, and analytics while protecting data privacy. Generalization —deliberately removes some of the data to make it less identifiable.
How to choose the right data anonymization solution?
The optimal choice depends on a range of factors, including the peculiarities of local legislation, privacy guidelines at the industry level, as well as the type and intended use of the data to be anonymized.
What is the difference between de-identification and anonymization?
In this regard, the terms “de-identification” and “anonymization” denote virtually the same concept and may be used interchangeably. The purpose of anonymizing data mainly revolves around privacy protection.