Overview
Protect sensitive data for development, testing, analytics and AI/ML ops without compromising on data quality and innovation with DataMasque. Automatically discover and mask sensitive data - including PII, PHI and PCI - to generate privacy compliant, realistic and irreversible synthetically identical data. No matter where your data lives - in databases, files, the cloud, on-prem or across environments - DataMasque ensures it is masked consistently. DataMasque supports masking of primary and unique keys and automatically maintains referential integrity of foreign keys.
Highlights
- Optimised for self-service automation - integrates seamlessly into existing IT management services.
- Drives consistency across tables, databases and database engines.
- Cryptographically secure SHA-512 salted hash to drive irreversibility.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Value Counts in File Discovery
File discovery results for JSON and NDJSON files now report how many values sit at each JSON path, giving a clearer picture of where data is concentrated. Value counts are captured only when In-Data Discovery is enabled.
Quoted Column Names in Generated File Rulesets
The file ruleset generator now quotes column names in the rulesets it produces, so files with spaces in their column headers mask without a parsing error.
Invalid Column Identifiers Explained in the Run Log
File masking runs that fail on an invalid column identifier now report the reason in the run log, instead of failing without an explanation.
Higher Fidelity PDF Images and Drawings
PDF masking reproduces images and drawings more faithfully, preserving clip shapes, orientation, colour, gradients and transparency that could previously be lost when the document was rebuilt.
Ruleset YAML Editor Outline Pane
Large rulesets are easier to navigate in the ruleset YAML editor, which now shows readable task labels in a resizable outline pane.
Run History for MongoDB and AWS DocumentDB
Run history is now recorded for MongoDB and AWS DocumentDB connections, stored as documents in a DATAMASQUE_RUN_HISTORY collection in the connection's database.
Redshift IDENTITY Column Detection
DataMasque now detects the IDENTITY columns that AWS Redshift will not allow it to update, and refuses unique-preserving masks on them rather than failing mid-run.
Word Tracked Changes Masking Fix
Fixed masking of Word documents with pending tracked changes to paragraphs, which left tracked-change author names and edit dates in the masked output and produced files that would not open in Word.
MySQL and MariaDB Unique Index Fix
Fixed masking runs failing on MySQL and MariaDB when a unique index was re-created after masking a column with a unique-preserving mask.
Additional details
Usage instructions
Please follow the steps below to complete setting up your DataMasque instance:
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Access the application via a web browser at https://<instance-ip-or-hostname>. The application may take a few minutes to start. Please refresh the page if you encounter the "Unexpected Error" message.
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Complete the first-time installation page by providing the following information:
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Email address of the DataMasque admin user. This email address is stored on the DataMasque EC2 instance and is used for the purposes of providing 'Forgotten Password' account recovery and critical system notifications. DataMasque will not have access to this information.
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Password for the admin user.
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Hostnames or IP addresses to access the DataMasque instance.
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The SMTP settings specific to your organisation.
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The instance ID of your EC2 instance.
- You will be re-directed to the DataMasque login screen. Please proceed to login with the admin password you have just configured.
Note:
- This product allows masking up to a total of 500GB across unique data sources.
- When you use our software we may receive and store usage data and information relating to the performance and use of the Software. We will not disclose any system information which identifies the user or the user environment to third parties.
- To upgrade your DataMasque version, contact the DataMasque team via https://datamasque.com/contact/?source=support_ticket or support@datamasque.com to request your access to the DataMasque Customer Portal and download the new DataMasque software version.
Support
Vendor support
DataMasque provides full product and installation support within 72 hours of making an enquiry. Contact the support team at support@datamasque.com for any enquiries you may have.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.