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dataguise Announces Data Masking Templates, Expanding dgmasker Support Across Popular Enterprise Applications
Template-Based Solutions Enable Organizations Using Oracle(R) E-Business Suite, PeopleSoft Enterprise, SAP ERP and NextGen Healthcare Software to Reduce Time Spent Masking Large Sensitive Data Sets From Weeks to Days
| Source: dataguise
FREMONT, CA--(Marketwire - January 13, 2010) - dataguise™ (http://www.dataguise.com), a
leading innovator of security solutions for protecting sensitive data
across the enterprise, today announced the availability of its dgmasker™
enterprise application templates. Developed with leading application
experts, the dataguise dgmasker templates provide enterprise organizations
that have deployed Oracle® E-Business Suite, PeopleSoft Enterprise, SAP
ERP and NextGen Healthcare Software with the ability to quickly secure
Personally Identifiable Information (PII) for use in non-production
application development, testing, QA & training environments.
Enterprise package applications are extremely complex, often requiring
customizable deployments based on a particular organization or industry.
The dataguise dgmasker application templates eliminate the complexities of
protecting sensitive data within these applications, allowing organizations
to implement secure data masking procedures in just a few days versus weeks
-- an industry first.
dgmasker is a highly automated and advanced security solution that helps
enterprises meet the multitude of compliance requirements, including
PCI-DSS, PII, HIPAA, GLBA and SOX. Unlike
alternatives on the market, dgmasker is an easy-to-use data masking
solution that has been built from the ground up with security and
compliance in mind. By developing the dgmasker application templates,
dataguise has further simplified the data masking process across
industry-leading applications, offering its unique Masking On-Demand™
technology to organizations spanning several vertical markets including
education, healthcare, financial services and human resources.
The University of California, Berkeley recently leveraged dgmasker
application templates for NextGen Software in order to enforce data privacy
requirements in the university's software testing and application
development environments. Prior to dataguise, UC Berkeley was challenged
with providing quality test data to its application development group which
works on the University's internally developed Web-based software solutions
for SQL Server and includes the housing and assignment system.
UC Berkeley's use of dataguise technology has allowed large volumes of
student information, critical for effective software development, to be
randomized so that student social security numbers, record numbers, home
addresses, names and dates of birth look like original data but are related
in format only. The de-identification process takes place entirely within
the production network, preventing the exposure of sensitive data before it
enters the less secure non-production environment.
"Our internal application development processes require production quality
data -- which in our case means student data," said Steve McCabe, Associate
Director of Information Technology in UC Berkeley's Residential and Student
Service Program. "With the original data preserved in the production
database, our software developers perform development and testing with data
that have been processed using dgmasker to desensitize the information,
essentially rendering it inert. This significantly reduces our risk
exposure and allows us to readily share test data with our end users during
QA and training."
In order to effectively implement packaged applications, enterprises need
to have the ability to support these systems in production environments as
well as during the development, QA, testing and pilot deployment process.
These methods can expose highly sensitive data to employees at various
levels within an organization -- developers, QA personnel, etc. -- as well
as offshore and outsourced personnel, increasing the risk of a data breach.
dgmasker supports non-production use of enterprise applications while
eliminating the risk of sensitive data exposure.
"Developing a masking strategy for packaged enterprise applications is a
particularly difficult and time-consuming issue for organizations, as a
typical application may contain tens of thousands of tables with hundreds
of potentially sensitive data types," said Allan Thompson, Executive Vice
President, Operations for dataguise. "By using our dgmasker application
templates, organizations can implement a comprehensive data masking
solution within a matter of days, ensuring they are protected against
exposure resulting from an internal or external breach, reducing their risk
profile."
Pricing and Availability
The dataguise dgmasker application templates will be available in the first
quarter of 2010 with pricing based on environment and configuration.
Organizations with security concerns reviewed in this announcement can
learn more about dataguise by visiting www.dataguise.com.
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About dataguise
dataguise offers automated and advanced data security solutions to help
ensure regulatory compliance, protect against data theft, discover
sensitive data and maintain data quality. dgdiscover enables organizations
to find structured database repositories across the network, search and
discover sensitive data in structured databases. dgmasker is then able to
mask or de-identify to protect sensitive data. dgmasker provides secure
masking of database content with unprecedented flexibility and
functionality across heterogeneous environments. For more information, call
510-824-1036 or visit www.dataguise.com