Dataguise: Solving Privacy, Risk and Security Concerns on Big Data and Databases for Enterprises Date:   Friday , November 02, 2012 In the current industry scenario, organizations are challenged to make productive use of their enterprise data without compromising sensitive information such as personally identifiable information (PII), account numbers, or personal health information. To address this need, Dataguise was initiated in 2007 to provide a comprehensive enterprise solution for risk-based sensitive data protection. Based in Fremont, California, Dataguise is the leading provider of data privacy protection and risk assessment analytics solutions for sensitive data assets. Dataguise’s comprehensive and centrally managed solutions allow companies to maintain a 360 degree view of their sensitive data assets, evaluate their compliance exposure risks, and enforce the most appropriate remediation policies across all their network domains, whether on premises or in the cloud and across databases, MS SharePoint servers, and Hadoop implementations. “The results are better data risk management, increased operational efficiencies and reduced regulatory compliance costs,” says Manmeet Singh, CEO, Dataguise. The company’s DgSecure data privacy protection product line proactively detects sensitive data across an entire business network. It locates and identifies sensitive data in all of the client’s repositories: DBMSs, Microsoft SharePoint sites, NFS, and Hadoop clusters, providing the customer’s compliance experts with the intelligence needed to evaluate exposure risk. Dataguise’s comprehensive data privacy protection solutions allow detecting and protecting sensitive data, and then provision and track secure data clones across the company's network – both those located on the premises and those in the cloud. The products offered are DgSecure, DgControl, DG for DBMS, DG for Hadoop and DG for SharePoint. The control center module of DgSecure and DgControl allows companies to centrally manage the location and identification of sensitive data, the assessment of compliance risk exposure, and the enforcement of compliance policies. DG for DBMS works to address requirements of regulations such as PII, HIPAA, PCI, GLBA, and HiTech by locating and identifying sensitive data types that are either custom defined or already preconfigured. DG for Hadoop allows users to implement either masking or encryption for remediation.