PROTEGRITY ANNOUNCES CONTINUED PLATFORM INNOVATION WITH NEW DYNAMIC DATA MASKING CAPABILITIES
Customers Can Now Monitor, Mask, or Tokenize Data – All Within a Single Data Store – Allowing Greater Flexibility to Secure Data at the Speed of Business SALT LAKE CITY, June 10 (Bernama-BUSINESS WIRE) -- Protegrity, a global leader in data security, today announced the release of the latest version of the Protegrity Data Protection Platform. Version 8.1 of Protegrity’s industry-leading platform introduces dynamic data masking and monitoring capabilities, providing customers with multiple data-protection methods all within a single data store. The company also introduced: enhanced support for language-preserving Unicode tokenization; the Protegrity Cloud API, which allows businesses to easily embed data-protection capabilities into cloud ETL workflows; and a redesigned logging architecture to provide more granular auditability over data-privacy initiatives. “Companies need to use their data to drive innovation yet keeping data secure often delays access, which can significantly impact mission-critical AI, ML, and analytics initiatives,” said Rick Farnell, President and CEO of Protegrity. “Our latest platform innovations provide expanded choice and control over data-protection methods – effectively expanding the tools available to safeguard data in a way that accelerates innovation.” Monitoring and Dynamic Data Masking Provide Visibility and Control for Sensitive Data Access With monitoring and dynamic data masking functionality, version 8.1 of the Protegrity Data Protection Platform provides customers with greater choice and control over the level of data protection they implement to meet the needs of the business. Monitoring capabilities give customers baseline visibility into how data is being accessed and used across the organization. For a higher level of control over sensitive data, businesses can utilize Protegrity’s dynamic data masking, which enforces data-visibility rules at the point of user access to hide or “mask” sensitive data for unauthorized users – without changing the data at rest. “For less-sensitive data and lightweight use cases, monitoring and dynamic data masking can provide a powerful baseline level of security to reduce risk immediately,” said Jeffrey Breen, EVP of product and strategy at Protegrity. “As an organization’s security and privacy posture matures, we continue to offer stronger protection methods, such as tokenization, which can easily be implemented from the same policy. This ensures that Protegrity can help organizations of any size, of any industry protect their sensitive data no matter where they need to be on the data-privacy continuum.”
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