Data Masking Software

  • De-identify your organization's sensitive data
  • Protect personally identifiable information against internal threat
  • Satisfy hipaa/pipeda/glba/pci/dss and other compliance
  • Anonimyze with data masking tool on-premises and in azure


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Data Masking Tool Overview

Today’s complex security infrastructure requires more than just encryption to protect sensitive data such as PII and PHI. HushHush data masking tool (also named data de-identification, anonymization, obfuscation software) helps to de-identify yours and your customers' data and safeguard it against internal threat. Use a collection of rule based, atomic, add-on data masking components to configure comprehensive and secure data de-identification solutions. HushHush components are out-of-the box algorithms constructed to anonymize both Safe-Harbor pre-determined elements such as Social Security Numbers, credit cards, names, addresses, telephones, etc. as well as generic algorithms for other sensitive data used in your organization. HushHush data masking tool de-identifies data in databases, files, messages, via API in your custom code and can be scheduled and ad-hock. De-identify sensitive data both on-premises and in the cloud.

Automating Data Masking Process

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Discover Sensitive Data in Databases, files, HL7 and EDI messages, and text.

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Hush-Hush data masking software both suggests appropriate algorithms as well as allows you to do expert determination for pII in database, HL7, x12 or text files.

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Then data masking tool helps you create basic workflows in ssis (biz talk coming soon).

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Data masking jobs can run on schedule or ad-hock.

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Create an audit trail in the form of various reports.

Benefits

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Minimal Development Time

HushHush data masking components are "the tool at the tip of your fingers". You install them in a minute, create workflows in a minute using discovery tool, than test, deploy, and schedule without much ado.

There is no need for complex administration and extra personnel to develop, configure, and monitor. There is no need to have components as "centralized" repositories. Build your unified enterprise solutions using distributed components, achieving the flexibility, robustness and time-to-market while providing adequate protection.

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Easy and Robust Integration

HushHush is agile -  no need to learn new tools and maintain points of integration. HushHush data masking pack easily integrates into the native SQL server SSIS , Biztalk, and code via API.

Using the SSIS and Biztalk native robust functionality, connect to a variety of sources and use extremely comprehensive and flexible engines for data transformations.

In addition to SQL Server on-premises and in Azure, mask data in any type of database and file such as Oracle, mySQL, IBM DB2, PostgreSQL, IngreSQL, Sybase, Access, Excel, flat files and other forms of files*.

For the data that never end up on a disk, use components with Biztalk or via API. You gain by reducing Total Cost of Ownership.

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Multiple Algorithms

HushHush data masking tools convert the compliance policies - be they "Safe Harbor" or "Expert Determination" of HIPAA, GLBA, or PCI - into data masking solutions. HushHush uses industrial - grade algorithms such as random and deterministic substitution with proven data sets, character substitution, shuffle, date and number variance, and generalization that satisfy industry established metrics such as k-anonymity and l-diversity. Custom algorithms are available.

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Diverse Use Cases

HushHush data masking solutions are widely used with outsourcing, testing, development, training, support and third party integration and co-development scenarios - in any place where you need realistically looking data preserving the original relationships and sometimes even errors - for the benefit of the real scenarios with sensitive data hidden from the unauthorized "eyes".

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Small Footprint

Data masking components install with one click straight into SSIS,SSRS, BizTalk, or any custom framework and take a minimal space on a disk. Also, in order to mask data you can either use or avoid creating the "golden copy" database with our custom SSIS frameworks. The decision is yours.