Protection icon DATA MASKING

Data Masking: Minimize Risk and Ensure Compliance

Create a sanitized version of sensitive data to preserve its utility and avoid unintended or unauthorized access. Minimize exposure risk and meet regulatory requirements.

Masking

Trusted By Leading Organizations for Over 40 Years

Truist4
WesternUnion
JPMorganChase3
Fiserv

Transform Sensitive Data for Safe Use

Your organization’s data has immense value. But how can you leverage that value without introducing risk? PK Protect solves this with data masking. Masking replaces sensitive alphanumeric characters with different random characters in the same format, effectively rendering the data non-sensitive. Prevent exposure while keeping data functional for critical business needs.

Transform Sensitive Data for Safe Use

Masking for Secure, Compliant Data Use

Data Discovery v1

Safe Development, Testing, and Analytics

De-sensitized data is safe for use in development, testing, and analytics. Referential integrity in our platform maintains relationships between data elements, even after sensitive values are anonymized. This ensures workflows function correctly and provides realistic, yet compliant datasets.

02-Unified-Data-Discovery

Secure AI/ML to Prevent Data Exposure

User training alone can’t prevent sensitive data from being exposed in AI tools. Masking obfuscates sensitive information before it enters AI models to mitigate the risk of data leakage. Avoid exposing IP, proprietary data, or trade secrets in AI/ML workflows.

Enterprise-Grade Speed and Scalability v1

Data Masking for Simplified Compliance

Meet compliance mandates such as PCI, HIPAA, and GDPR, while preserving the value and usability of data. By concealing sensitive details, masking enables teams to work efficiently with the information they need, without risking regulatory violations or exposing confidential data.

Masking to Prevent Data Leakage in Lower-Level Environments

Holman, a global leader in automotive services, relies on PK Protect as a cornerstone of its data security strategy. Through automated discovery, PK Protect identified over 8,000 columns in three Oracle databases requiring masking. By applying masking in lower-level environments, Holman developers work securely with full data sets in Oracle, preventing data exposure during development and testing.

“PKWARE has given us the confidence we need to rapidly innovate while maintaining compliance.”

Masking to Prevent Data Leakage in Lower-Level Environments

Advantages of PK Protect Data Masking

Enterprise-Wide Data Masking

Enterprise-Wide Data Masking

Our data masking solution secures sensitive data across hundreds of platforms, including Oracle, SQL Server, Postgres, DB2, Hadoop, AWS, Azure, Snowflake, Salesforce, and more. Ensure security and compliance for your entire data landscape.

Centralized Policies

PK Protect masks sensitive data via policies that incorporate both discovery and masking across all repositories in your environment. This prevents gaps in your data security strategy.

Centralized Policies
Referential Integrity

Referential Integrity

Our platform maintains referential integrity by masking individual data elements consistently across the various platforms in which they reside. This provides a more realistic representation of production datasets for accurate and meaningful development and analytics.

PK Protect Provides Broad Platform Integration

Additional Resources

Simplify security and compliance. Get in touch today.

Data Masking FAQs

Masking is ideal for application development, testing, and analytics use cases where production-formatted data is required, without exposing sensitive information.
Data masking software like PK Protect works to safeguard your sensitive data consistently across the repositories in your infrastructure to ensure it remains secure and protected.
Static data masking is a data protection technique that permanently replaces sensitive data with realistic but fictitious data in non-production environments.
Data masking permanently anonymizes data. If the data is exfiltrated or unauthorized actors gain access to it, the risk is minimal since the real sensitive data has been replaced.