AI-driven sensitive search algorithms. Integration with external AI services. (Epic IM-2171 - Getting issue details... STATUS ) 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.
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.(Task IM-2153 - Getting issue details... STATUS ) 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.
Complex masking rules with dependencies: Consider relationships and dependencies between different columns.(Jira IM-2134 - Getting issue details... STATUS ) With the introduction of calculated field rules, our service will be significantly enhanced, enabling it to handle more complex data dependencies and correlations
Tight 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 (Task ) IM-2145 - Getting issue details... STATUS Implementing in-memory read-only masking for efficient and secure fast masking results during the masking development phase.
Improvement of background masking jobs: Enhancing the process, scheduling, and reporting of background masking jobs, including email notifications for results.
General
Content
Integrations