Protect production-derived data
Transform sensitive fields before data reaches development, test, QA, sandbox, training, or vendor environments.
Use realistic data in development, QA, analytics, and vendor workflows without spreading production cleartext. Ubiq protects sensitive values and governs authorized access by identity and policy.
Ubiq evaluates the requesting identity, context, and policy, then returns the configured representation for that field or dataset.
Access request
Protected test record
Real-time evaluation
Runtime data outcome
Runs repeatable tests with stable protected identifiers
Debugs application behavior without full personal data
Receives approved detail for a controlled validation case
Operates on a protected representation, not original data
Protected once. Resolved for each test workflow according to identity and policy.
Teams need realistic data to test applications accurately. The risk appears when production-derived data is copied into environments and workflows that were never meant to carry the same exposure as production.
Lower environments, personal sandboxes, exports, snapshots, and vendor systems often have broader access and weaker controls than production.
Removing fields or replacing every value with the same placeholder can break validation, referential integrity, joins, search, and realistic application behavior.
A team may need a dataset without needing every sensitive field in cleartext. Dataset access alone does not determine the representation each identity should receive.
Developers, QA automation, analysts, vendors, and incident responders can need different levels of detail from the same underlying record.
Protecting the dataset is only part of the job. Ubiq also governs which representation each identity receives when access occurs.
Test data management prepares and controls the data used for software development and testing. Security teams need that process to preserve application realism without copying sensitive production values into every lower environment.
Where Ubiq fits
Ubiq adds the security and policy layer to provisioning, subsetting, refresh, and automation workflows, so realistic test data does not require routine cleartext exposure.
Transform sensitive fields before data reaches development, test, QA, sandbox, training, or vendor environments.
Keep the formats and lengths that schemas, validators, and existing applications expect from realistic test values.
Use stable protected values where repeatable tests, joins, lookups, and relationships need to behave the same way across runs.
Use the requesting identity, context, and policy to control when an integrated workflow can receive cleartext or a protected representation.
How Ubiq helps
Apply the protection method each field and workflow needs. Preserve stable values and expected formats where necessary, while keeping the original sensitive data out of routine lower-environment access.
| Test field | Production value | Protection | Test value | Governed use |
|---|---|---|---|---|
| Customer ID | CUST-10482 | Tokenize | CUST-7K2M-4830 | Stable token for tests; cleartext only for an authorized identity |
| mariac@acme.com | Mask | m••••@acme.com | Masked for routine testing or cleartext when policy explicitly allows | |
| Card number | 4716 5532 0091 4471 | Format protect | 4716 0094 7732 4471 | Format-compatible protected value or authorized cleartext |
| Support notes | Account owner: Maria Chen | Encrypt | 8F2A-C71B-4E09 | Protected for lower environments; cleartext only through approved access |
Ubiq helps security, engineering, QA, analytics, and compliance teams reduce cleartext exposure across the workflows that depend on realistic data.
Use production-like records in lower environments while replacing regulated values with protected representations.
Keep protected identifiers consistent across test runs so joins, assertions, and repeatable workflows continue to work.
Provide realistic datasets to third parties without broadly distributing original customer, employee, patient, or payment data.
Validate transformations, schemas, and application behavior with format-compatible protected values before a production cutover.
Support analysis and controlled evaluation workflows with tokenized, masked, encrypted, or de-identified data.
Reproduce defects with the minimum sensitive detail required, while limiting cleartext to specifically authorized identities.
Ubiq is the security and policy layer for test data, not a replacement for every provisioning or automation tool. Integrate it where sensitive values are prepared, stored, accessed, and returned.
Apply protection through applications, services, APIs, SQL UDFs, databases, warehouses, and data pipelines inside your environment.
Select the protected representation that preserves the utility each test workflow needs without defaulting to production cleartext.
Use format-preserving techniques when schemas, validators, and existing applications require the original data shape.
Connect Ubiq to your identity environment so policies follow the human and non-human identities you already manage.
Protection and reveal operations run through integrations in your environment, so sensitive data does not need to be sent to Ubiq.
Add field-level protection and identity-governed access to the tools and processes you use for dataset provisioning, refresh, and test automation.
Test data management is the process of preparing, provisioning, maintaining, and controlling data used for software development and testing. A complete TDM program can include dataset discovery, subsetting, refresh, generation, masking, access control, and delivery to lower environments.
Ubiq provides the data security and access-control layer for test data management. It protects sensitive fields through masking, tokenization, de-identification, or encryption and can govern which protected or unprotected representation an integrated workflow receives based on the requesting identity, context, and policy.
Ubiq complements test data management platforms and internal provisioning workflows. It is focused on discovering sensitive data, protecting values, and governing access. Teams can continue using existing tools for activities such as dataset subsetting, refresh, orchestration, and synthetic data generation.
Teams can reduce risk by protecting sensitive production-derived fields before the data reaches development, QA, sandbox, analytics, or vendor environments. The appropriate method depends on the workflow and can include masking, tokenization, de-identification, encryption, or format-preserving protection.
Masking obscures part or all of a value, while tokenization replaces the original with a protected representation. Masking is useful when a person or workflow needs limited visual context. Stable tokenization is useful when tests need consistent values for joins, lookups, and repeatable processing without exposing the original identifier.
Yes. Where application compatibility requires it, Ubiq can use format-preserving protection techniques so protected values retain the length, character set, and shape expected by existing schemas and validation rules.
Ubiq can return an authorized cleartext value or a configured protected representation through an integrated access path. The requesting identity, context, and policy determine the runtime outcome defined for that dataset or field.
No. Ubiq provides a SaaS control plane while protection and reveal operations execute through integrations inside the customer environment. Sensitive data does not need to be sent to Ubiq for masking, tokenization, encryption, or authorized reveal.