Case Study: One of the World’s Top Streaming Services achieves scalable, secure cross-platform data access with Immuta

Largest Streaming Services Providing Company

Largest Streaming Services Providing Company, a global media and entertainment provider with millions of subscribers, faced unscalable native access controls as it grew, leading to role bloat, proliferating copies and views of anonymized data, and difficulty meeting evolving privacy regulations. To solve this, the company chose Immuta to automate data access and privacy controls across its Databricks and Snowflake environments (with Azure AD for identity), using Immuta’s platform and privacy-enhancing technologies.

Immuta implemented dynamic attribute-based access control, native enforcement across Snowflake and Databricks, and dynamic PETs (k‑anonymization and differential privacy) to anonymize PII and prevent re-identification. As a result, Immuta automated data classification and enforcement across platforms, eliminated copies/views/roles and associated compute costs, improved data-team productivity and time-to-data, reduced re-identification risk with mathematical guarantees, and scaled securely with no data leaks or breaches.