PK Masking is a comprehensive data protection solution designed to safeguard sensitive information by transforming original data into sanitized versions, ensuring that unauthorized users cannot access critical details. This process, known as data masking, anonymization, pseudonymization, or de-identification, allows organizations to utilize their data for various purposes without compromising privacy or security.
Key Features and Functionality:
- Static Data Masking: Permanently alters data within databases, rendering it irretrievable and secure for scenarios where original data isn't required, such as in test environments.
- Dynamic Data Masking: Masks sensitive data in real-time as it is accessed, based on user roles and policies, without modifying the original data at rest.
- File and Image Redaction: Automatically removes sensitive information from files, images, or emails as soon as it appears, ensuring immediate protection.
- Cross-Source Consistent Masking: Ensures uniform masking across various data stores, including multiple disparate locations, maintaining referential integrity.
- De-Identification of Personal Information: Utilizes pseudonymization and anonymization techniques to replace identifiable details, enhancing privacy.
Primary Value and Problem Solved:
PK Masking empowers organizations to implement industry standards such as PCI, HIPAA, and GDPR, which aim to protect sensitive data. By applying masking or redaction across extensive datasets, it reduces the risk of data breaches and ensures compliance with data protection regulations. This solution allows businesses to perform safe analytics, reduce retention of sensitive data, and maintain privacy without compromising the usability of their data. By dynamically masking data based on user roles and policies, PK Masking provides granular control over data access, ensuring that sensitive information is only accessible to authorized personnel.
Seller
PKWAREProduct Description
PK Masking is a comprehensive data protection solution designed to safeguard sensitive information by transforming original data into sanitized versions, ensuring that unauthorized users cannot access critical details. This process, known as data masking, anonymization, pseudonymization, or de-identification, allows organizations to utilize their data for various purposes without compromising privacy or security.
Key Features and Functionality:
- Static Data Masking: Permanently alters data within databases, rendering it irretrievable and secure for scenarios where original data isn't required, such as in test environments.
- Dynamic Data Masking: Masks sensitive data in real-time as it is accessed, based on user roles and policies, without modifying the original data at rest.
- File and Image Redaction: Automatically removes sensitive information from files, images, or emails as soon as it appears, ensuring immediate protection.
- Cross-Source Consistent Masking: Ensures uniform masking across various data stores, including multiple disparate locations, maintaining referential integrity.
- De-Identification of Personal Information: Utilizes pseudonymization and anonymization techniques to replace identifiable details, enhancing privacy.
Primary Value and Problem Solved:
PK Masking empowers organizations to implement industry standards such as PCI, HIPAA, and GDPR, which aim to protect sensitive data. By applying masking or redaction across extensive datasets, it reduces the risk of data breaches and ensures compliance with data protection regulations. This solution allows businesses to perform safe analytics, reduce retention of sensitive data, and maintain privacy without compromising the usability of their data. By dynamically masking data based on user roles and policies, PK Masking provides granular control over data access, ensuring that sensitive information is only accessible to authorized personnel.
Overview by
Mark Nodzon
