DataMasque for Guidewire Cloud enables insurers to de-identify sensitive Guidewire policyholder and claims data. DataMasque generates synthetically identical data that can be safely used across testing, analytics and AI use cases. Fully functional, realistic and privacy compliant.
Insurers need realistic policyholder and claims data to develop new capabilities, improve digital experiences, run analytics and power AI transformation. Using real production data outside of secure environments introduces significant privacy and compliance risk.
DataMasque for Guidewire Cloud enables insurers using the Guidewire Snapshot export service with DataMasque to irreversibly de-identify sensitive Guidewire data, producing synthetically identical data that can then be returned securely to sandbox environments. The result is high-fidelity data that supports development, AI experimentation and transformation without any of the privacy risks.
DataMasque automatically preserves referential integrity across policies, claims and related records, ensuring critical data relationships are maintained for end-to-end insurance workflow testing.
Highlights
Guidewire Cloud customers deploy DataMasque within their secure AWS environment. A pre-configured automation takes a secure snapshot of the Guidewire instance and, using a pre-defined Guidewire Cloud ruleset, DataMasque replaces sensitive information with synthetically identical customer data.
DataMasque can preserve referential integrity across Guidewire and other core systems. Policies, claims and related records remain connected and consistent, ensuring full utility and fidelity for end-to-end insurance workflow testing.
DataMasque's synthetically identical customer data looks and behaves the same way as your real data, maintaining patterns, statistical accuracy and edge cases, without any sensitive information. Irreversible de-identification removes compliance friction from AI development, migrations, software development and third-party data sharing.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single pricing dimension based on Guidewire TB, so you pay according to the volume of Guidewire Cloud data you mask, measured in terabytes. Pricing scales with the amount of data you process rather than by user count or number of masking runs. As your masked data volume grows, your cost adjusts to match. This is a contract-based purchase, so you commit to a term and settle billing through your AWS account for consolidated invoicing.
Top-of-mind questions for buyers
What does one Guidewire TB unit measure for billing?
One unit equals one terabyte of Guidewire Cloud data that the software masks. Billing counts the volume of data processed, not the number of users, databases, or masking runs. As the volume of masked data grows, the number of terabyte units you consume increases accordingly.
Are there limits on how many masking runs or data sizes I can process?
You can perform masking runs on data of any size. Your cost tracks the terabytes of Guidewire Cloud data you mask, so running more or larger jobs raises the volume billed. There is no separate charge tied to the count of runs.
What masking capabilities are included when I process Guidewire Cloud data?
The software discovers and masks sensitive data using keyword and pattern searches. It applies irreversible masking through a salted cryptographic hash, keeps masked values consistent across sources, and maintains referential integrity for primary, unique, and foreign keys. It integrates with existing CI/CD tools through an API-first design.
datamasque.com+3
Helpful?
Vendor refund policy
Refunds and cancellations are not available.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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:
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.
Complete the first-time installation page by providing the following information:
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.
Password for the admin user.
Hostnames or IP addresses to access the DataMasque instance.
The SMTP settings specific to your organisation.
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:
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.
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.
DataMasque is a data masking platform that transforms sensitive production data into realistic, fully functional and privacy-compliant datasets.
Its synthetically identical data preserves the statistical characteristics, complexity and edge cases of your original data while maintaining referential integrity and data consistency - without sensitive information ever leaving your secure environment.
DataMasque helps enterprises accelerate development, testing, analytics and AI with synthetically identical customer data. Fully functional, realistic and privacy compliant.
DataMasque helps enterprises accelerate development, testing, analytics and AI with synthetically identical customer data. Fully functional, realistic and privacy compliant.
DataMasque helps enterprises accelerate development, testing, analytics and AI with synthetically identical customer data. Fully functional, realistic and privacy compliant.
DataMasque helps enterprises accelerate development, testing, analytics and AI with synthetically identical customer data. Fully functional, realistic and privacy compliant.