Automated data masking cut compliance risk and storage spend by replacing manual extract–mask–migrate workflows, enabling secure, right-sized Salesforce sandboxes that are faster to spin up and cheaper to operate.[1][2] [1](https://cloudcompliance.app/salesforce-data-reduction-step-1-mask-data-in-sandbox/) [2](https://www.salesforce.com/platform/data-masking/)

A leading healthcare provider implemented large-scale HIPAA-compliant data masking across Oracle and AS400 systems to protect billions of patient records in non-production environments.​ The project delivered complete PHI de-identification on time and within budget, sustaining rapid testing and development while improving privacy, compliance, and operational efficiency on legacy platforms.

In today's data-driven world, ensuring the privacy of sensitive information is paramount, especially for global organizations. Our client, a leading banking and financial services giant,

A global financial leader modernized cross-border data protection with a hybrid GDPR-compliant platform that saves millions by avoiding new EU infrastructure. ​ Automated tokenization, masking, and mainframe integration now secure millions of sensitive records while enabling scalable, compliant growth across European markets.

A global financial services leader implemented an automated Delphix-based platform to virtualize and mask test data across hundreds of applications and databases. Self-service ServiceNow workflows now deliver compliant, on-demand test data to over a thousand users, accelerating development while strengthening security, audit readiness, and infrastructure efficiency.

A leading U.S. insurer modernized Guidewire test data on AWS with a Delphix-powered platform that automates secure, masked copies for development and QA. ​ The solution cut storage by over 40%, accelerated test data delivery to weeks instead of months, and removed DBA bottlenecks so teams could test faster, in parallel, and at lower cloud cost.