Not all sensitive data should be treated the same way. Sometimes you need to redact it entirely. Other times, you need just enough visibility to do the work — without exposing what shouldn’t be seen.
In this demo, see how Immuta’s masking policies work natively within Teradata, giving data teams the flexibility to provision access by policy while applying the right level of protection to every column.
A consumer gains automatic access to a tagged data source through a single policy — no ticket, no manual approval. Sensitive fields are masked by default. And where analysts need to preserve analytical value, like counting unique values across a country column, hashing keeps the insight intact without exposing the underlying data.
The demo covers:
- Provision by Policy: A consumer analytics policy automatically grants access to tagged data sources based on user attributes — no repeated approvals required
- Constant masking: Sensitive columns are masked with a static value, keeping protected data out of reach by default
- Hash masking: The country column is hashed to preserve analytical utility — unique value counts remain visible without exposing sensitive information
- Fine-grained control: Two masking policies work together within a single provisioning workflow, each targeting the right columns for the right reason
The result: governed, flexible data access — provisioned automatically, enforced natively in Teradata.