Data Masking by DataSunrise
Role-based and location-aware sensitive data masking in all of customer’s databases, both on-premises and in the cloud. Anonymize Sensitive Data. Data masking from DataSunrise can either be static or dynamic to ensure that all customer’s data security requirements are met and all data in the customer’s databases remains intact.
Data can be protected either statically or dynamically.
A large number of relational databases and non-relational databases are supported.
Data Masking works both on-premises and in the cloud.
Sensitive data is encrypted and obfuscated.
DataSunrise Data Masking Benefits:
Data Masking is obligatory according to such sensitive data protection regulations as GDPR, SOX, PCI DSS, HIPAA, ISO 27001, IEC 27001
Prevention of sensitive data leak and exposure
Dynamic and static methods ensure total obfuscation of sensitive data
Pre-build masking methods and highly customizable data masking rules to meet every customer security requirement
Easy to install, configure and manage
Can be used for any purpose such as development, testing and training
Masking of the entire database, a separate column or schema
Both on-premises and in the cloud
User-friendly web interface
Data protection and De-identification of PHI, PII or other sensitive data
PROTECTING DATA FROM INTERNAL AND EXTERNAL RISKS
Malicious hackers, negligent employees, contractors and partners
WHAT YOU GET?
A perfect tool against sensitive data exposure and leak
Full control over access to the data
The solution to increase database safety
WHY YOU NEED DATA MASKING FROM DATASUNRISE:
To eliminate external threatsProtect sensitive information when giving access to third party contractors such as developers, market or scientific researchers. Despite the fact that they have access to your data, you still have full control over it
To eliminate internal threatsWith masking data companies can eliminate the slightest risks of negligence or malice coming from company employees
Can be used for:
In application development and testing
For analytics and statistics
For outsourcing and off-shoring projects
No duplicating of source database required
No additional storage space required
No database or application modifications required
SUPPORTED DATABASES: SQL and NoSQL, In Cloud and On-Premises
Oracle MS SQL Server PostgreSQL MySQL SAP HANA Amazon Aurora Amazon Redshift All RDS Databases Amazon DynamoDB Amazon Athena MS SQL Azure Google Cloud SQL IBM Db2 IBM Db2 Big SQL MariaDB MongoDB Apache Cassandra Apache Impala Elasticsearch Apache Hive Netezza Vertica Teradata Greenplum Percona Server MySQL Heroku Postgres Informix Amazon S3 Azure Synapse Analytics Sybase Snowflake