Dynamic Data Masking Solution by DataSunrise
Real-time role based data masking of production data. Prevents exposure of sensitive data in production databases; requires neither application modifications, nor duplicating of the source database. The actual data in source database remains intact.
Protects sensitive data by obfuscating the query results on-the-fly.
Supports a large number of relational databases both on-premises and in the cloud.
Wide range of data masking methods.
Data Encryption
Masking of queries executed from inside stored procedures and functions

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Our Dynamic Data Masking Benefits:
Minimized risk of accidental data leakage
Dynamic obfuscation of sensitive data in the database responses
Functionality based on data security governance principles
Flexible masking policies, multiple data masking algorithms
Masking of separate columns or the entire database
In addition to the pre-built masking methods, custom masking algorithms can be used
Comprehensive web-based interface
Easy to install, configure and manage
High performance
Helps to comply with industry and government regulations

PROTECTING DATA FROM INTERNAL AND EXTERNAL RISKS
Malicious hackers, negligent employees, contractors and partners
WHAT YOU GET?
An instrument to limit exposure of sensitive information both to regular users and database administrators
An advanced security solution that is easy to deploy, configure and manage
High performance and scalability
WHY YOU NEED DATA MASKING:

Complete control over access to your data
Protecting sensitive, confidential and personally identifiable information if you need to give access to the database to some third-party users while keeping its sensitive contents unexposed
No more leaks
With masking, users can work with your live database without gaining access to sensitive data it contains

Can be used for:
Application development and testing
Analytics and statistics
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