Database admins can control user permissions to run SQL queries by establishing rules or policies that comply with the established security requirements.
Data masking technology is aimed at preventing the abuse of sensitive/confidential data by giving users fictitious (yet realistic) or hidden data, instead of real and sensitive data.
Data masking targets the misuse of data at rest, typically in nonproduction databases (static data masking), and data in transition, typically in production databases (dynamic data masking).
Dynamic Data Masking is necessary, especially for application testing use cases that require representative and coherent data. Dynamic data masking (DDM) limits sensitive data exposure by masking it to non-privileged users.
DDM can also be configured to hide sensitive data in the database query result sets over designated database fields, while the data in the database remains unchanged. DDM supports following masking rules; Redaction/Nulling, Shuffling, Blurring, Tokenization, Substitution and other Custom rules defined by regular expressions.
Single Connect Database Access Manager provides session logging functionality to database admins. All database queries can be logged for security requirements. User experience is unchanged as they use their own database client. Client can communicate with the DAM SQL Proxy with the standard database protocol used by database.
Data Access Manager & Dynamic Data Masking supports compliancy with regulations (GDPR, ISO 27001, HIPAA, PCI, KVKK).
Single Connect DAM solution discovers sensitive data such as credit card or personal ID numbers residing in Database and Big Data servers.
Supports well-known Database and BigData platforms including Oracle, MSSQL, MySQL, PostgreSQL, Couchbase, Teradata, Cassandra, SAP HANA and Hive