![]() Requesting and Installing a Trial Version This allows ultimate flexibility, true enterprise-wide utilization of various data storage formats, robustness, and satisfies time-to-market requirements while providing adequate protection. ![]() We believe that policy unification for the enterprise should be achieved via distributed components. We also believe that policies are indeed just the algorithms and that they do not have to be "centralized" via repositories. After all, data masking (de-identification, anonymization) is part of the software development lifecycle. We believe that you can develop masking solutions fast using development tools. Our new data discovery tool allows not only your database professional but also your security or compliance engineer to auto-generate SSIS extract-transform-mask-load (ET(M)L) workflows without any prior knowledge of SSIS.ĪPI-based data masking components embed into software frameworks, including those of BizTalk, SSAS, SSRS, and support privacy-in-design features of custom-built software. New data workflows using the components let you activate data masking components in a non-production environment and disable them in production. complete replacement and integration with stand-alone software. Current SSIS workflows might need simple modification vs. The algorithms are very simple to understand and use. The algorithms used together are capable of masking any solution. ![]() Data masking SSIS components are data flow components each representing a specific algorithm. The person familiar with SSIS requires little-to-no training to start using the components. Our SSIS product line installs into SSIS, expands data flow functionality, and is ready for application development in any mode: Agile, Kanban, Six Sigma, and ol' Waterfall. Hush-Hush is a data masking components pack that allows companies to comply with privacy regulations and limit access to a non-production environment. ![]() 2. Requesting and Installing a Trial VersionĪgile Implementation of Data Privacy Compliance with Hush-Hush Components.1. Agile Implementation of Data Privacy Compliance with Hush-Hush Components. ![]()
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