BMC Compuware Topaz Enterprise Data vs PK Masking comparison

Topaz for Enterprise Data is part of the Topaz suite of mainframe development and testing tools. It enables developers and data architects to discover, visualize and work with both mainframe and non-mainframe data in a common, intuitive manner. Topaz for Enterprise Data enables developers to: Visually manage vast quantities of data objects using the Data Relationship Visualizer Visually understand and tune complex related data extracts to create optimal test data with the Extract Visualizer Edit multiple datatypes with a single Enterprise Data Editor Easily compare data Search for data values in one or more files Process related subsets of data with minimal database expertise Maintain relationally intact data based on referential integrity (RI) or application relationships (AR) Extract relevant data using easy-to-use selection criteria or key values Load data into new or existing objects and apply necessary data transformation rules Execute a list of specifications as a group Leverage Test Data Privacy to mask sensitive data to protect individuals’identities and business-confidential data

PK Masking offers a specialized approach to data protection, ensuring sensitive information is hidden effectively. It caters to specific data security needs, providing reliable mechanisms for compliance and privacy.

By employing advanced data masking techniques, PK Masking safeguards critical data across industries. It is known for its precision in data transformation to prevent unauthorized access. Users appreciate its capacity to integrate with existing data management systems seamlessly, optimizing data security protocols without compromising performance. Its intuitive design appeals to IT professionals focused on maintaining strict data protection standards.

• Data Transformation: Converts sensitive data without altering its original state.
• Compliance Support: Meets industry regulations for data privacy standards.
• Scalability: Adapts to growing data environments with ease.

• Enhanced Data Security: Minimizes risks of data exposure.
• Regulatory Compliance: Simplifies adherence to privacy laws.
• Operational Efficiency: Reduces time spent on data protection tasks.

In the financial sector, PK Masking is crucial for protecting customer data during transactions. Healthcare providers use it to anonymize patient records, ensuring privacy compliance. Retailers benefit from its ability to secure credit card information, safeguarding customer trust.