Use cases
Where teams use data masking
Five situations where production data leaves its environment, and how Cloakr keeps personal data out of it.
- 01
Development and test environments
- The problem
- Staging is filled with a production dump, refreshed by hand every now and then.
- With Cloakr
- A scheduled job, or a continuous one via CDC, keeps staging in sync with data that is already masked.
- Features used
- Scheduled jobs · CDC · Templates
- 02
Vendors and outsourced development
- The problem
- An external vendor needs a realistic database to develop or debug against.
- With Cloakr
- You hand over a masked copy: real structure and volumes, no real customers.
- Features used
- Substitution · Regex · Deterministic
- 03
ISO 27001 audits and GDPR reviews
- The problem
- The auditor asks how data is protected in non-production environments.
- With Cloakr
- Masking templates are the written rule, and the job history shows it is applied.
- Features used
- Templates · Run history · Roles
- 04
Analytics and reporting
- The problem
- Analysts work on full copies of the data even when they only need aggregates.
- With Cloakr
- The deterministic algorithm keeps keys and joins consistent, so counts and cross-references stay correct.
- Features used
- Deterministic · Truncation
- 05
Extracts and file exports
- The problem
- A CSV or Excel file with customer data is emailed to a consultant or attached to a ticket.
- With Cloakr
- Upload the file, map the columns and share the masked version.
- Features used
- File masking · CSV · XLSX · JSON
Approach
How we run a project
- 01
Initial assessment
We map datasets, data flows and regulatory constraints before proposing a configuration.
- 02
Gradual rollout
We start from the most critical tables, without touching pipelines that already work.
- 03
Ongoing checks
We review runs and masked data quality as the schema evolves.
Let's see it on your data.
Tell us which databases you use and how you build test environments today. You'll hear back from us, not a sales rep.