Dataguise, a provider of Big Data security and protective intelligence solutions is launching the industry’s first Big Data Protection Partner Program (BDP3). The Dataguise BDP3 is built around the Dataguise product suite, which delivers data privacy protection and risk assessment analytics. Dataguise technology partners include Cloudera, Hortonworks and MapR, and its product integrations are certified with Cloudera’s CDH 5, Hortonworks 2.0 and MapR M Series. Dataguise also has partnerships with system integrators and resellers such as Knowledgent and Carahsoft and is forging additional ISV and OEM relationships with leading solution providers in the Big Data ecosystem.
Initially, the partner program will focus on financial services firms and health care organizations that have data privacy compliance requirements to contend with on top of their analytics needs. Dataguise automates the discovery, masking, encryption and protective intelligence for Big Data in Hadoop, relational databases including Oracle, DB2 and SQL Server, and online file systems such as Sharepoint.
“In industries where the data components that bring the most value for analysis are also sensitive, as with health care or financial services, we can mask personally identifiable information and give organizations the ability to compile those data points,” explains Manmeet Singh, co-founder and CEO of Dataguise in an interview with CivSource.
The company is fresh off a second round of fundraising which gave the company a $13 million boost. That money contributed to several new hires and provided the basis for the partnership program. Prior funding included a Series A round of $3.25 million in 2011.
Singh points to data security rules as outlined in the Health Insurance Portability and Accountability Act (HIPAA), The Health Information Technology for Economic and Clinical Health (HITECH), and the Payment Card Industry (PCI) DSS as critical focus areas for this technology. “From a data perspective, Hadoop is really part of that mix but a lot of organizations are still working through governance issues. Those data and use requirements tend to take much longer than the deployment of our technology,” he says.
Beyond financial services and health care organizations, the company is also building a pipeline including public sector organizations that could benefit from big data analytics but also have to reconcile personal identifying information issues.