When data leaves the confines of a controlled The metadata environment? there is no way to ensure that it is secure and will not fall into the wrong hands.
When considering network data protection? organizations need to consider:
Protecting the original data source (video? audio? text? etc.)
Today’s advanced data analytics tools The metadata enable unauthorized users to query and interpret large amounts of data in transit and at rest.
High-speed network encryption technologies need to be considered to meet data-centric security purposes without compromising network performance and availability.
According to data practitioner
Former colleague Anirban Guha? the focus netherlands phone number library of the data management function has shifted to maintaining the confidentiality? integrity and availability of personal data on cloud storage. Further areas to focus on are detailed below:
Data quality of personally identifiable data that can be addressed in the cloud to identify source systems and their lineage
CIA (Confidentiality? Integrity? Accessibility) ratings (1 to 4) for metadata confidentiality? integrity? and availability
Segmentation based on domain-specific approaches why can smart technology be such as GDPR? CCPA? etc.
Automatic inclusion of technical metadata and linking with business metadata through data domain discovery rules
In summary
Cloud practices can adopt
The latest advances in security to securely store? move? and adb directory back up data in the cloud. In terms of data and security solutions? the following aspects should be noted:
Use directory services to discover data in cloud storage
Automatic classification of data in cloud storage
Permission management of cloud storage data
Manage column-level access through rights
Manage preferred masking? anonymization? pseudonymization and redaction techniques for personal data
Secure management of mobile data and traffic between NS and DC
Central management of hybrid cloud encryption keys.
