FAQs
Company – Why Dataguise
Dataguise offers a unique approach to sensitive data protection in Hadoop. This approach combines intelligent data discovery with automated, data-centric encryption, masking, and audit tools for Flume, Sqoop, FTP, MapReduce, Hive, and SPARK.
Large customers in Finance, Insurance, Healthcare, Government, Technology and Retail utilize Dataguise for two business goals:
1. Reduce breach risk and data loss through sensitive data protection
2. Solve Hadoop compliance, privacy, and regulatory mandates for PII, PCI, PHI, HIPAA and data privacy and data residency laws
The ability to discover, protect, and audit access to sensitive data gives organizations an additional layer of protection beyond what’s possible with existing Hadoop access control, authentication, authorization and data-at-rest encryption available in Hadoop. This protective layer provides unique precision, control, and audit of sensitive data ideally suited to customers that may need to:
* Share data with “semi-trusted” users either inside the organization or out to partners
* Sell data to third parties
* Control and monitor internal access to gain better protection against insider risk
* Partially reveal data (while preserving data uniqueness for analytics) through intelligent data masking or Format-preserving encryption