The Coolest Way to Mask Snowflake Data Yet ❄️
If you've been waiting for a way to securely mask Snowflake data without compromising data integrity, it's here.
We’re excited to announce DataMasque v2.26.0, bringing new capabilities to our data masking platform.
The standout feature of this release is Snowflake database support - continuing our commitment to providing comprehensive data protection across your entire ecosystem.
Snowflake Integration: Enterprise-Grade Masking for Cloud Data Warehouses
DataMasque v2.26.0 delivers robust support for Snowflake - the popular cloud-native data warehouse platform used by organizations for scalable analytics, reporting, and data sharing. This integration enables customers to enforce data privacy and compliance standards across Snowflake workloads while maintaining the same level of consistency with other data sources in your environment.
Key Capabilities for Snowflake Environments
With DataMasque's new Snowflake integration, you can now:
• Connect natively to your Snowflake environments using secure, native integration.
• Discover and classify sensitive data stored in Snowflake tables using DataMasque’s data discovery features.
• Apply irreversible, format-preserving masking while maintaining data integrity - essential for protecting data used in dev/test or AI/ML workloads.
•. Share masked data securely between teams and external partners without exposing sensitive information.
• Automate masking workflows as part of your existing Snowflake-based data pipelines.
Consistent Masking Across All Sources
DataMasque is built on the principle of maintaining consistency and security across all environments. Whether you're working with traditional databases, files, in-flight data, or now Snowflake, you can be assured of reliable, synthetically identical data masking. Through hash sources and consistent run secrets, sensitive data is masked identically across all your environments while upholding the highest levels of security.
This consistency is crucial when working with Snowflake as part of a larger data ecosystem, ensuring referential integrity is preserved even when data moves between platforms.
Enhanced Platform Support
We've expanded our deployment options with support for Red Hat OpenShift Service on AWS (ROSA) 4.17, giving you more flexibility in how you deploy and manage DataMasque. Other key enhancements include improved SQL Server compatibility and County detection in both Metadata and In-Data Discovery. You can read the full changelog here.
Ready to Upgrade?
DataMasque v2.26.0 is a recommended upgrade for all our customers. If you're not already protecting your data with DataMasque, you can get started right now with DataMasque on the AWS Marketplace or please contact DataMasque for Cohesity, on-prem or cloud environment support.