The ARX de-identification tool is a comprehensive open source software for anonymizing sensitive personal data. It provides a framework for anonymizing sensitive personal data by transforming datasets in ways that make sure that they adhere to well-known privacy criteria like k-anonymity, l-diversity, t-closeness or δ-presence. It supports Generalization hierarchies that are later used by lattice processing to find the optimal cell in the lattice. It can formulate lattices for very large data sets which provides excellent support for Big Data.
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Hush Hush provides tools for data de-identification, also known as data masking or obfuscation.
We provide the very first and only solution that natively integrates into the .Net and SQL Server stacks of technologies in the form of SSIS, API-based and SQL CLR components. No extra interface, no custom installations, and no extra copy of production environments needed if you decide to mask data on the fly.
Hush Hush helps manage enterprise risks while satisfying regulatory requirements, such as those of GLBA, HIPAA, SOX, PCI DSS/PIPEDA, and others. Hush Hush provides quality security by simplifying matters for your technical staff. With boxed "Safe Harbor" components and generic algorithms they can now concentrate on software integration rather than the less familiar field of regulatory compliance.