Dataguise Launches Data Privacy and Risk Assessment Analytics Solution for Hadoop

Dataguise, a provider of data security intelligence and protection solutions, has announced a data privacy protection and risk assessment solution for Hadoop. The new solution, DgHadoop, provides compliance assessment and enforcement for centralized data privacy protection to simplify data compliance management, improve operational efficiencies and reduce regulatory compliance costs.

Dataguise is partnering with three large distributors of Hadoop, Cloudera, Hortonworks, and MapR. Now in beta, DgHadoop will be available starting in July 2012 directly through Dataguise and through strategic Dataguise partners, including Cloudera, Hortonworks, MapR and Compuware.

Because environments such as Hadoop include very large data sets of mixed classifications and security sensitivities, security officers are becoming concerned about the risk they present should a data breach occur, says Paola Lubet, vice president, marketing, for Dataguise.  And, because so much data is aggregated into one environment, the risk of data theft or accidental disclosure is substantially increased because it serves as a single point of access to potentially millions of records. The detection and protection of sensitive data contained in these large data repositories is critical to the management of privacy policy enforcement and control to minimize the risk of data compromise.

According to Dataguise, DgHadoop is a comprehensive, flexible and modular solution that delivers enterprise-class protection to sensitive data aggregated in Hadoop deployments. Offering actionable intelligence to decision makers about their compliance risk and mitigation policies, DgHadoop adapts easily to different deployments and data utilization needs.

The solution enables users to detect and protect data on the fly as it is streamed into Hadoop, as well as detect and protect sensitive data that is already stored in Hadoop HDFS by leveraging Hadoop APIs, says Lubet.

The solution will store protected data alongside unprotected data in the same Hadoop implementation or quarantine data in a separate Hadoop implementation.

It can also detect and protect structured, relational data in source repositories leveraging Sqoop to move data into Hadoop. DgHadoop will ensure that protected data maintains its integrity and value by masking data and reverting masked data to the original sensitive data, when needed. In addition, administrators can set access permissions on protected files to facilitate user credential enforcement so users can access protected or unprotected data in Hadoop, according to their credentials. 

“With the unmitigated ability to surpass traditional security defenses, both internal and external persons remain a threat to the highly sensitive data found in big data environments,” says Ed Albanese, head of business development for Cloudera. “With the new challenges brought about by big data, corporate mainstays to security will need to evolve and adapt. DgHadoop by Dataguise delivers proactive assurance that data in these large repositories will remain secure and in compliance with corporate and governmental mandates.”

For additional information, go to