Page Comparison

AI-driven sensitive search algorithms.

Achieve comprehensive categorization and search capabilities for sensitive data using external AI integration. Increase result quality with a fully automated and streamlined process, enhancing the accuracy and efficiency of sensitive data masking rules assignment.

Complex masking rules with dependencies

Consider relationships and dependencies between different columns. With the introduction of calculated field rules, our service will be significantly enhanced, enabling it to handle more complex data dependencies and correlations

AI-driven masking data dictionary generators

Effortlessly generate masking lookup tables content using AI technology, significantly reducing the time required for creating masking rules.

Free-text masking rules

Enhance the process of masking sensitive information in free text by incorporating NLP techniques to understand, interpret, and manipulate the free text data.

Recognize patterns that indicate the presence of sensitive data and generate masked values preserving the same format and structure as the original data

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Integration with Virtualization

Unifying the Masking service with Virtualization within the single TDM platform.

Integration with development tools

Enhancing collaboration with CI/CD tools, offering a API toolbox or SDK for easier integration.

Read-only environments for the Masking

Read-only environments that can be safely utilized for production databases.

Read-only test

masking

Implementing in-memory read-only masking for efficient and secure fast masking results during the masking development phase.

Masking reconciliation

Ensure the accuracy and consistency of masked data by automatically comparing and validating the masked values against their original records.

Scheduling of masking jobs

Enhancing the process, scheduling, and reporting of background masking jobs, including email notifications for results.