Mage Data R24.0.2 delivers important enhancements, support for Dynamic Data Masking on the new R24 platform and other usability improvements from the previous version. This document outlines the new features and enhancements delivered in version R24.0.2 of the Mage Data solution.
Mage Data’s R24 platform aims to empower organizations to effortlessly achieve proactive compliance, unparalleled efficiency and scalability across the enterprise data ecosystem. This release streamlines data discovery, masking, and governance for complete data protection. Our vision is to revolutionize how organizations manage, protect, and leverage their data allowing them to reduce compliance costs, automate risk mitigation and achieve accelerated innovation through secure data sharing.
Since our inception in 2004, Mage Data has always provided innovation and leadership in sensitive data discovery, static data masking, dynamic data masking, monitoring, and sensitive data for enterprise databases and applications.
At Mage Data we have always attached the utmost importance to customer feedback this has helped us to develop new features and improvements to enhance our solution based on real customer challenges, use cases, requirements, and market demand. Therefore, challenges encountered by our customers are usually resolved by periodically upgrading existing Mage Data installation to the latest version available.
Thank you for being a Mage Data customer or partner and providing your valuable feedback.
Supported Databases
Datastore | Sensitive Data Discovery | Static Data Masking | Dynamic Data Masking | Database Firewall | Database Activity Monitoring | ||||
EML | In-place | In-transit | Embedded Agent | DB Native | Embedded Agent | Embedded Agent | |||
Oracle |
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SQL Server |
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MySQL1 |
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MariaDB |
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PostgreSQL1 |
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SAP HANA |
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Azure SQL1 |
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DB2 LUW |
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MongoDB2 |
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BigQuery |
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Snowflake |
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Impala |
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Hive |
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IMS |
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Teradata |
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DB2 z/OS |
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DB2 400 |
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1 |
Native connectors for MongoDB and other NoSQL databases are currently under development. To discover and mask data in NoSQL databases, extract the data into a supported file format or use the Mage APIs to plug into your ETL processes. | In the Roadmap | R | |
| To be released soon as minor updates | |||
2 | Currently supported on an older version, R23.1.1, | |||
Supported Extract-Mask-Load Combinations
Mage Data’s EML module enables users to extract data from a source, anonymize it, and subsequently load it into a designated destination. This approach guarantees that the original data remains unchanged while providing a secure version suitable for non-production environments. Additionally, the EML module facilitates seamless integration with various data sources and destinations, catering to a wide range of organizational requirements.
Datastore | Sensitive Data Discovery | Static Data Masking | Dynamic Data Masking | Database Firewall | Database Activity Monitoring | |||
EML | In-place | In-transit | Embedded Agent | DB Native | Embedded Agent | Embedded Agent | ||
Oracle |
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SQL Server |
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MySQL1 |
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MariaDB |
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PostgreSQL1 |
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SAP HANA |
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Azure SQL1 |
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DB2 LUW |
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MongoDB2 | R |
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BigQuery |
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Snowflake |
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Impala |
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Hive |
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IMS |
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Teradata | R |
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DB2 z/OS |
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DB2 400 |
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Supported SaaS and ERP Applications
Native connectors for Dynamics 365, ServiceNow is on the roadmap. In the meanwhile, to discover and mask data in these applications, extract the data into a supported file format or use the Mage APIs to plug into your ETL processes.
Sensitive Data Discovery | Static Data | Dynamic Data Masking for Application | |
Embedded | |||
Salesforce (SaaS) |
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Oracle E-Business Suite |
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Oracle Peoplesoft |
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Microsoft Dynamics NAV (Navision) |
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1 | The Mage Data solution can connect to all file stores that support network drive mapping including but not limited to Amazon S3, Google Drive, OneDrive, NAS, FTP, Dropbox, SharePoint | In the Roadmap | R |
| Currently available in an older version R23.1.1 |
Supported File Stores
Application | Sensitive Data Discovery | Static Data Masking | ||
via API | via Mounted Drive | via API | via Mounted Drive | |
Local Storage |
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OneDrive |
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SharePoint |
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Azure Data Lake Storage |
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Amazon S31 | R |
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1 | The Mage solution can connect to all file stores that support network drive mapping including but not limited to Amazon S3, Google Drive, OneDrive, NAS, FTP, Dropbox, SharePoint | In the Roadmap | R |
| Currently available in an older version R23.1.1 |
Supported File Types
Type | File Format | Sensitive Data Discovery | Static Data Masking |
Structured | CSV and delimited files |
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Fixed-width files, |
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Semi-structured | AVRO, Parquet, ORC |
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JSON, XML |
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X12 EDI |
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HL7 |
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SWIFT |
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EFT |
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MS Excel (xls, xlsx) |
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Unstructured | Log files |
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MS PowerPoint (ppt, pptx) |
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MS Word (doc, docx) |
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Security Updates
Updated libraries and security fixes | All libraries have been updated to the latest versions, ensuring vulnerabilities are addressed and overall security is enhanced. |
New Feature
Helpful Hints | Introduced dynamic helpful hints explaining important terms used in live section of the conversational Test Data Author screens |
Enhancement
General bug fixes | General usability improvements and bug fixes have been implemented to enhance the overall user experience. |
Improved stability | Stability improvements have been made to ensure a more reliable and consistent user experience. |
Macros for converting Templates from older versions to R24.0.2 | Excel macros are now available that can convert a Template exported from older versions and make it compatible with R24.0.2 |
Policy Author |
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Bug Fixes
Policy Author |
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Improved stability | Stability improvements have been made to ensure a more reliable and consistent user experience. |
Enhancement
Improved configuration for excluded fields | Improved configuration screens to exclude specific fields or fields matching or partially matching certain keywords from the discovery process | All supported datastores |
Sort order and length of columns | The sort order and length of database columns are now being captured | All supported datastores |
New Feature
Extract Mask Load (EML) from Any to Any database | Ability to Extract entire data or a subset of data from any supported database, mask and load to any other supported database | All supported databases |
AI-based masking for description fields in structured fields | Support for an AI-based masking method, which can identify and mask sensitive fields in free-text, comment or description fields in structured datasources like databases, structured files (e.g. csv, parquet, avro) and semi-structured files (e.g. JSON, xml etc.) | All supported databases and file types |
Enhancement
Performance Enhancements | Improved performance of static data masking by parallel processing validations performed on tables before the masking process. | All supported datastores |
Improved Logging |
| All supported datastores |
Enhanced user privilege checks | The privilege checks of database users has been enhanced to cover more scenarios in the Test Data Author screen | All supported datastores |
New Feature
Support for Dynamic Data Masking on the new platform | Ported over support for Dynamic Data Masking on to the new Mage Data R24.x platform | Oracle, SQL Server |