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Datamask

Built on Amazon Machine Image (AMI), DataMask makes patient data protection an effortless task. It is a technology designed to shield Personally Identifiable Information (PII) and Protected Health Information (PHI) from exposure, adhering strictly to data regulations such as HIPAA and GDPR. You do not just get a data masking tool; you get a reliable solution for your data privacy and security needs. Please note, once data is masked, it cannot be reverted, so we recommend not running production data through the solution.

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About

What we do:

(1) Secure your patient data by using over 30 masking algorithms to obfuscate sensitive information

(2) Ensure your data remains analysis friendly by maintaining its context post obfuscation, thus allowing its use for testing and research

(3) Support a broad range of data sources, including PostgreSQL, MSSQL, MySQL, Oracle, SQLite, CSV, Excel, and Cassandra

(4) Provide an intuitive interface for easy setup of source schema, filtering of tables and columns, identifying sensitive columns, and assigning masking algorithms

What you get:

(1) A robust solution to help you comply with data privacy regulations

(2) Enhanced data security to protect patients sensitive information and maintain their trust

(3) A user friendly tool that supports wide ranging data sources

(4) Access to our expert support team 24/7, ready to assist you in case of any questions or issues

(5) An affordable solution with clear pricing, allowing you to estimate your costs upfront with no hidden fees

DataMask helps to shield patient data (PHI, PII) from exposure, comply with data regulations, data privacy, and security protocols (HIPAA, GDPR), and generates useful fictitious data. DataMask supports the following data sources: PostgreSQL, MSSQL, MySQL, Oracle, SQLite, CSV, Excel, Cassandra.

SoftServe DataMask is enforced by more than 30 masking algorithms. The data context is being kept, which makes it possible to operate with masked data for testing and research purposes. Depersonalized data comes back in the same format as uploaded.

Functionality includes: set up tree-view presentation of source schema, search and filter of tables and columns, conduct automatic identification of sensitive columns, get selected table demo data review, assign and configure an obfuscation algorithm for each attribute, set up an obfuscation algorithm, obfuscate demo data preview, running the database obfuscation process, save an obfuscation configuration as a project, post obfuscation script execution, keep date columns consistent, use command line mode, add new obfuscation algorithms, plug database connectors.

Note: Never run production data through the solution; once masked, data cannot be reverted.

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