Insurers need realistic data to develop new capabilities and improve digital experiences, analytics and AI. However, using real data outside of live environments introduces significant privacy and compliance risk.
DataMasque replaces sensitive policyholder and claims data with synthetically identical data that can be safely used across testing, analytics and AI use cases.
With the DataMasque for Guidewire Cloud solution, insurers can create realistic, de-identified copies of Guidewire data and securely return them to sandbox environments. The result is high-fidelity data that supports delivery, AI experimentation and transformation without any of the privacy risks.
Start by downloading the DataMasque for Guidewire Cloud accelerator directly from the Guidewire Marketplace to review the architecture and pre-configured masking rulesets. After obtaining a DataMasque licence via the AWS Marketplace, teams can self-deploy the masking engine into their own AWS cloud boundary using the provided templates and step-by-step guidance, ensuring sensitive data never leaves their control.
The accelerator provides pre-built, YAML-based masking rulesets specifically tailored for Guidewire ClaimCenter, PolicyCenter and BillingCenter. The package also includes reference architecture diagrams showing secure data flows, infrastructure-as-code templates for one-click AWS deployment, and executive collateral detailing the business value of automated data governance.
DataMasque can also be deployed beyond Guidewire across other enterprise systems and used to mask unstructured data including PDF documents, enabling consistent de-identification that preserves data relationships.