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dataguise Partners With Statscom

Companies to deliver advanced security technology for federal government agencies

Fremont, CA, July 26, 2010 - dataguiseT (http://www.dataguise.com), a leading innovator of security solutions for protecting sensitive data across the enterprise, today announced its strategic partnership with Statscom, a leading information technology and technical services provider for U.S. federal government agencies. As part of the reseller agreement, Statscom will work with current dataguise partner immixGroup to provide governmental organizations with the dataguise dgdiscoverT and dgmaskerT security solutions.

In addition, Statscom will provide Section 508, FIPS 140-2 and Common Criteria EAL 2+ Certification, ensuring that the specification, implementation and evaluation of dataguise technology has been conducted in a rigorous and standard manner in order to meet strict federal security regulations.

dataguise recently added two federal government industry veterans to its executive leadership team - Jim Flyzik as a new advisory board member and Joe Marino as VP of Federal Sales. These appointments, coupled with strategic partnerships secured with long-standing government technology providers like immixGroup, further support dataguise's ongoing strategy of deepening its commitment to and influence in the federal and public sector.

"We are very pleased to partner with dataguise and look forward to working with the leading database security technology provider to expand their reach and influence among key government agencies," said Sandesh Mohan, CTO of Statscom. "dataguise's commitment to the federal and public sector is clear and its database security solution offering is unsurpassed. By leveraging dataguise's next-generation security solutions and Statscom's sales and technical expertise, government organizations and agencies can utilize the resources needed to build a robust, effective, end-to-end strategy that protects sensitive data, mitigates risk and improves their overall security posture."

dataguise offers the first integrated product offering of its kind to combine both discovery of databases containing sensitive data, identification of the data at risk in the database and Masking In Place (MIP) of the information for seamless security. dgdiscover quickly determines where sensitive information resides throughout the enterprise and dgmasker, with its Masking On-DemandT capability, then de-identifies information targeted for use outside of the production network, providing organizations with the technology needed to reduce their risk profile.

"For government organizations, having a robust set of solutions in place that protect sensitive data from authorized and unauthorized access is an absolute necessity to maintain the highest level of security in mission critical systems," said Allan Thompson, EVP of Operations for dataguise. "This partnership with Statscom is key for dataguise, as we continue to assert the importance for organizations in the government sector to deploy vigorous, all-inclusive database security solutions -- like those offered by dataguise -- as an essential component to a successful security strategy. We plan to leverage our relationships with leading sales and service providers in the government industry, like Statscom and immixGroup, to expand our reach and increase our customer base in the federal and public sector."

Tweet this: dataguise and Statscom Partner to Deliver Leading Sensitive Data Discovery and Masking Technology to the Government Sector

Follow dataguise on Twitter at: http://twitter.com/dataguise

About dataguise dataguise offers automated and advanced database security solutions to help ensure regulatory compliance and protect against data theft. dataguise dgdiscover focuses on sensitive data discovery and classification across the enterprise and the company's dgmasker product solution 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

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