Masking service product ideas

	Idea	Description	Jira
1	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.	IM-2171 - Getting issue details... STATUS
2	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	IM-2134 - Getting issue details... STATUS
3	AI-driven masking data dictionary generators	Effortlessly generate masking lookup tables content using AI technology, significantly reducing the time required for creating masking rules.
4	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.	IM-2153 - Getting issue details... STATUS
5	Integration with Virtualization	Unifying the Masking service with Virtualization within the single TDM platform.
6	Integration with development tools	Enhancing collaboration with CI/CD tools, offering a API toolbox or SDK for easier integration.
7	Read-only environments for the Masking	Read-only environments that can be safely utilized for production databases.
8	Read-only test masking	Implementing in-memory read-only masking for efficient and secure fast masking results during the masking development phase.	IM-2145 - Getting issue details... STATUS
9	Masking reconciliation	Ensure the accuracy and consistency of masked data by automatically comparing and validating the masked values against their original records.
10	Scheduling of masking jobs	Enhancing the process, scheduling, and reporting of background masking jobs, including email notifications for results.