Data localization is storing and processing personal data within the country or region where the data was collected. Data localization is often motivated by concerns about the privacy and security of personal data, and it can be a requirement of privacy laws and regulations.
Data localization requires using data centers and other infrastructure within the country or region where the data was collected. Organizations can ensure that the data is subject to relevant privacy laws and regulations by storing and processing personal data within the country or region.
Data localization can have several benefits, including improved privacy and security, greater control over personal data, and reduced data transfer costs. However, data localization can also have drawbacks, such as increased complexity and costs and reduced flexibility and interoperability.
Some privacy laws, such as the GDPR, set specific requirements to transfer data outside a particular jurisdiction. When such rules apply, data localization can limit compliance burdens and compliance risks for organizations.