DataMirage™ by AISequire
DataMirage™: realistic data, nothing real.
Mask sensitive data through a simple API so teams can build, test, and share without exposing real records.
Like a mirage, masked data looks real but isn't.
| Field | Original | Masked |
|---|---|---|
| full_name | Margaret Ellison | Dana Whitcomb |
| birth_date | 1981-03-14 | 1979-11-02 |
| ssn | 900-41-2286 | 912-07-5531 |
| phone | (404) 555-0147 | (470) 555-0193 |
| m.ellison@example.com | d.whitcomb@example.net | |
| member_id | MBR-20417733 | MBR-58301926 |
Capabilities
What DataMirage does
Designed to help teams protect sensitive data such as PII and PHI, and to support privacy and compliance programs.
Mask any data element by API
Send a value and its type, get back a masked value. Call it from scripts, pipelines, or applications.
Realistic output
Lookup-based masking produces believable names and addresses, so masked data still works in screens, reports, and tests.
Fast stateless algorithms
Many data types are masked by stateless algorithms that need no stored mapping tables.
Portable by design
Written in Java, so it runs on the platforms your teams already use.
How it works
Three steps from real data to safe data
Connect
Point DataMirage at the data you need to protect, or call it directly from your own process.
Define masking rules
Choose how each field is masked, for example
full_name→ realistic name,ssn→ valid-format number.Mask via API
Run masking as part of your pipeline. Teams receive realistic data with nothing real in it.
Use cases
Where teams use masked data
Non-production environments
Give development and test environments realistic data without copying real records.
Vendor and offshore sharing
Share data with partners and distributed teams without exposing customer details.
Training and demo data
Run training sessions and product demos on data that looks real.
Analytics and AI
Prepare data for analytics and AI work while keeping sensitive values out.