Data Masking
Data Masking allows you to work with data assets securely, eliminating the risk of data breaches. This process replaces authentic data with fictitious yet meaningful information. Sensitive data can be substituted with fixed strings or through more sophisticated methods such as shuffling or format-preserving encryption.
Masking can be implemented in two ways: dynamic or static, depending on where the data replacement occurs. DataSunrise supports both approaches, offering comprehensive protection for your sensitive information.
Learn About Solutions in the Cloud or on-Premises
Dynamic Masking
Replacement of sensitive data in real time when the client accesses the database.
Learn MoreJoin Innovative Solutions
Download3 Key Points to Protect Your Confidential Data
Ensuring Compliance
Sensitive data is the most valuable asset of any company and pseudonymization is obligatory according to such regulations as GDPR, SOX, PCI DSS, HIPAA, and more.
With DataSunrise you can become compliant in just a few clicks.
Modern Data Masking Technologies
Pre-build masking methods and highly customizable data masking rules to meet every security requirement.
Masking of the entire database, a separate column or schema for any purpose such as development, testing and training.
Reliable Protection
Prevention of sensitive data leak and exposure, complete obfuscation of sensitive data.
Data protection and De-identification of PHI, PII or other sensitive data. Easy to install, configure and manage both on-prem and in the cloud.
Supported Databases and Platforms:
SQL and NoSQL, in the Cloud and on-Premises
Specification
Description
SQL
- All RDS Databases
- AlloyDB
- Amazon Athena
- Amazon Aurora
- Amazon Redshift
- Apache Hive
- Apache Impala
- Azure Synapse Analytics
- Cloudberry Database
- CockroachDB
- GaussDB
- Google BigQuery
- Google Cloud SQL
- Greenplum
- Heroku Postgres
- Hydra
- IBM Db2
- IBM Db2 Big SQL
- IBM Informix
- IBM Netezza
- MS SQL Azure
- MS SQL Server
- MariaDB
- MySQL
- Neo4j
- Oracle
- PostgreSQL
- Percona Server MySQL
- SAP HANA
- Snowflake
- Sybase
- Teradata
- TiDB
- Vertica
- YugabyteDB