Static Data Masking Solution by DataSunrise

DataSunrise Static Data Masking protects sensitive data from exposure in non-production environments such as development, devops or testing environments; completely eliminates the possibility to reverse engineer the masked data or access the original sensitive records.

 
Protects sensitive and confidential information by limiting its exposure to unauthorized users with persistently obfuscating the data
Supports a large number of databases, both on-premises and in the cloud
Wide range of data masking methods and obfuscation algorithms
Data Encryption and In-Place masking capabilities
Classify sensitive, PHI and PII Data and redact or obfuscate with predefined masking algorithm or custom functions
UNPARALLELED SAFETY OF MASKED DATA UNPARALLELED SAFETY OF MASKED DATA
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Our Static Data Masking Benefits:

Ensures privacy of data moved to development, test and training environments
Reduces the risk of data breach and data leak
Helps to stay compliant with industry regulations
Eliminates the possibility to reverse engineer the masked data
Comprehensive web-based interface
Offers multiple masking algorithms and flexible masking policies
In addition to out-of-the-box masking methods, custom masking algorithms can be used
High speed of database cloning and masking using database links, bulk-loads and parallel processing of big tables
Easy to deploy, configure and manage
protection
Protecting data from internal and external THREATS

Malicious hackers, negligent employees, contractors and partners

WHAT YOU GET?
Advanced data-centric solution
Complete control over access to the data
Increased level of information security

Sensitive and confidential data never leaves the source database

DataSunrise transmits already masked values to the target database

Granting access to the data to third parties while keeping the sensitive contents unexposed:

feature
In application development and QA
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In analysis and training
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For outsourcing and off-shoring projects
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