Data security platforms for encryption and tokenization
Test encryption or tokenization with representative applications and analytics. Verify who can recover original values, how access is audited and what happens when keys or protection services are unavailable.
Encryption & tokenization
These platforms have documented encryption & tokenization. Confirm that capability in each required store. Environment marks do not establish that combination.
Select environment headings to prioritize coverage.
What the marks mean
- Full
- Documented support within the scope stated in the platform notes.
- Partial
- Documented support with a material limitation or integration requirement.
- None
- Evidence establishes no support.
- Unconfirmed
- The reviewed sources do not establish support. This is a research gap.
A mark does not establish every capability in every store. Microsoft 365 does not include Azure infrastructure. Warehouses groups Snowflake and Databricks. On-prem covers file shares. Coverage methodology
Select environment headings to prioritize coverage. All columns and platforms stay visible unless you apply a filter.
| Platform | Pricing | ||||||
|---|---|---|---|---|---|---|---|
| ? | ? | ? | ● | ? | ? | Not published | |
ALTR applies access policies, masking and tokenization to connected databases. Snowflake enforcement and classification can take different processing paths, so check which data leaves the account. [2] Full profileCompare with…Ask in the evaluationWhich protection types require an external call, and where will classification run? | |||||||
| ? | ? | ◐ | ◐ | ? | ? | Not published | |
comforte protects data fields through tokenization and encryption. Its BigQuery integration replaces sensitive values with tokens while retaining formats for analytics. Verify who can reverse that protection. [2] Full profileCompare with…Ask in the evaluationTest joins, analytics and application behavior with tokenized values. | |||||||
| ? | ◐ | ◐ | ◐ | ? | ◐ | Not published | |
PK Protect Data Store Manager discovers and masks sensitive data across databases, cloud repositories and packaged apps. Confirm which protection method is available for each store and whether it changes source data or a derived copy. [1] Full profileCompare with…Ask in the evaluationDoes protection modify production values, create masked copies or enforce at query time? | |||||||
| ? | ◐ | ◐ | ● | ? | ? | Not published | |
Protegrity applies field-level tokenization, encryption and masking through protectors integrated with data platforms. Evaluate the protector and runtime for each store because policy enforcement depends on the integration path. [1] [2] Full profileCompare with…Ask in the evaluationWhich runtimes and clients can access unprotected values? | |||||||
| ? | ◐ | ◐ | ◐ | ? | ? | Not published | |
SecuPi combines data classification with fine-grained access policies and de-identification. Its coverage list spans applications, databases and cloud stores, but the enforcement method must be confirmed for each interface. [1] Full profileCompare with…Ask in the evaluationWhich enforcement component is needed for each data access path? | |||||||
| ◐ | ◐ | ◐ | ? | ● | ◐ | Not published | |
CipherTrust combines data discovery with separately configured encryption and key-management components. Cloud key support does not establish content scanning or access governance for the same service. [1] [2] Full profileCompare with…Ask in the evaluationMap each store to discovery, encryption and key-management components and quote them separately. | |||||||
Confirm each capability in your specific data stores. Methodology