Protection icon DE-IDENTIFY DATA

PK Protect: Secure and Compliant Data Usage

Minimize risk and exposure with secure, compliant data for testing and development.

Deidentify

Trusted By Leading Organizations for Over 40 Years

Truist4
WesternUnion
JPMorganChase3
Fiserv

De-Identify Production Data for Safe Development

PK Protect keeps sensitive data secure while maintaining its usability for critical business needs like development and testing. Use it to de-identify data to provide developers with safe datasets.

De-Identify Production Data for Safe Development

Data Security for Lower-Level Environments

Data Discovery v1

Reduced Exposure Risk

Data masking transforms sensitive alphanumeric characters into randomized values that retain the original format. The data appears normal but is sanitized. Masking reduces risk by ensuring testing is only performed on anonymized data. Even if data is compromised, it remains protected.

02-Unified-Data-Discovery

Compliant Dev/Test Data

By concealing sensitive information, masking ensures regulatory requirements are met. It allows Test Data Management teams to work with the data they need without risking compliance violations.

Enterprise-Grade Speed and Scalability v1

Secure, Realistic Datasets

PK Protect safeguards data in lower-level environments without compromising operational needs. It maintains relationships between data elements to ensure realistic datasets for development and testing. This preserves data utility while eliminating exposure.

Test Data Masking for Compliance

“After seeing PKWARE used for test data masking at two different Fortune 100 companies, I can confidently say that it works well for meeting compliance requirements.”

-Ross Young, Former CISO of Caterpillar Financial and Co-Host of CISO Tradecraft

Test Data Masking for Compliance

Comprehensive Data Governance

Enterprise-Wide Data De-Identification

Enterprise-Wide Data De-Identification

PK Protect can de-identify sensitive data across hundreds of platforms. Customers leverage it to secure data on Oracle, SQL Server, Postgres, DB2, Hadoop, AWS, Azure, Snowflake, Salesforce, and more.

Centralized Policies for Consistent Protection

With PK Protect, you can enforce policies uniformly across all repositories to de-identify data. Simplify governance and administration with centralized control.

Centralized Policies
Referential Integrity

Referential Integrity in Test Environments

Even after sensitive data is anonymized with PK Protect, relationships between records remain intact. This ensures development and QA datasets behave as they would in production for realistic, secure testing.

PK Protect Provides Broad Platform Integration

Additional Resources

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