"Delphix and Microsoft combined give us all the compliance and automation services we need to make the delivery of secure data easy."
Amir Desai, CIO, Molina Healthcare
Compliance Risk Inhibits Data Movement, Access in the Cloud
The cloud is filled with personally identifiable information (PII), fueling privacy compliance and security risk. PII from every production app often flows to 10+ downstream systems for dev, test, and analytics, creating risks that organizations handle manually—or sometimes not at all. Delphix Compliance Services (DCS) for Azure, a SaaS offering developed in collaboration with Microsoft, automates data compliance and security to reduce risk, unblock data movement, and accelerate innovation.
Enable Data Compliance, Security
Mask data governed by privacy laws and industry regulations, such as GDPR, CCPA, or HIPAA.
Streamline Data Delivery
Automate compliance within Azure ETL flows, using a SaaS solution, to eliminate data flow bottlenecks.
Use Quality Data for Analytics, Development
Innovate using real, masked data while maintaining referential integrity.
Unlock Data Streams with Automated Masking
DCS for Azure automatically discovers and masks PII, supplanting manual processes for delivering compliant data. Masking replaces sensitive data with synthetic, yet realistic values that retain data relationships and ensures multicloud referential integrity, so teams mitigate risk while ensuring analysts and developers can easily consume the right data.
Mask 100+ data sources
Access over one hundred pre-built connectors to mask data from a wide array of data sources.
Sensitive data discovery
Identify sensitive data fields subject to privacy, industry laws.
Data realism, referential integrity
Use real, high-quality data for fast developer feedback and accurate analytics.
Automated data masking on the fly
Apply masking to data to transform sensitive values into realistic, yet synthetic values. Load masked data into 100+ Azure-supported data sources.
Pre-built Azure integrations and templates
Use code-less templates and pre-built integration with ADF and Azure Synapse Analytics to automatically integrate data compliance into end-to-end data flows.
Extensive masking algorithm library
Use a rich library of pre-built and customizable masking algorithms, giving you agility to rapidly mask and flexibility to customize for specific requirements.
Mask only changed data to allow for fast refresh, for sources that support change data capture.
Save versions of masked data for use across development and test environments.
Reduce data volumes as data is masked to save time, costs.