Mosh Snowflake Data Masking

Mosh Snowflake Data Masking is built for speed, security, and scale. It uses Snowflake’s native masking policies but manages them through a streamlined interface. No manual scripts. No brittle workflows. Mosh applies masking rules instantly across schemas, tables, and columns, using custom logic or pre‑set profiles. You decide what fields stay visible, what fields get obfuscated, and how quickly the changes roll out.

With Mosh, masking is dynamic. Policies adapt to roles, context, and queries in real time. A user with analyst access sees sanitized records; a service account running ETL sees the raw data it needs. This granular control reduces compliance gaps and enforces least‑privilege principles without slowing pipelines.

Performance stays high. Mosh leverages Snowflake’s compute efficiency, so masking operations run without heavy overhead. Deployment is handled through version‑controlled configurations, making it easy to roll back or update rules across environments. Audit trails are built‑in, tracking every change, every access, and every policy state for governance and reporting.

Security teams use Mosh to meet HIPAA, PCI‑DSS, and GDPR requirements with minimal engineering friction. Developers integrate it directly into CI/CD pipelines. Masking policies can be tested, validated, and promoted through the same workflow as any other database change.

The result: consistent data masking across Snowflake without losing velocity. Every query returns only what it should. Every user sees only what they should. Every regulator gets the proof they need.

See how Mosh Snowflake Data Masking works with your data at hoop.dev — live in minutes.