Data Security Across Vast Data Stores
Relational databases are built on a powerful model that is used for a variety of information needs in organizations of all types and sizes. Businesses use relational databases to track inventory, process ecommerce transactions, manage customer information, and more. This relational model excels at maintaining data consistency across applications and other instances. Challenges arise, however, when businesses need to protect the information in these databases. Sensitive and private data must be consistently protected across all databases in a way that makes it behave in the right manner every time. And traditional database security is often at odds with database usability.
The global relational database market is projected to grow at a rate of 11.38% through 2027.
Comprehensive RDMS Coverage
Real-Time Database Monitoring
Run continuous full scans across all database instances and trigger automated classification and protection rules
Confidence to Scale with Protected RDMS
Rapidly distribute security services directly into horizontal distributed RDMS databases for data performance and scalability
Transparent data encryption (TDE) offers real-time protection of data and log files to comply with privacy regulations
Compliance and Comprehensive Reporting
Maintain compliance with PCI DSS, HIPAA, SOX, GDPR, and more
Differentiated Encryption and Masking Techniques
Precise element-level protection via multiple high-performance masking and encryption options
Range of Protection
Secure structured, semi-structured, and unstructured data formats alike
Hyper Secure Data Protection
Define sensitive data policies with PK Protect for all data held by your company across multiple relational databases. With the ability to scan databases to identify and protect sensitive, personal, or private data, PK Protect not only enhances the speed in accessing personal data on Relational Database Management Systems (RDMS) to meet analytics and test demands, it also provides unmatched ongoing accuracy for personal data protection.
July 31, 2022
June 30, 2022
- Christopher Pin
April 21, 2022
December 1, 2021