Native Hadoop Security Tools Not Enough to Protect Sensitive Data in Big Data Environments, According to Protegrity Survey
Organizations Plan to Increase Spending on Hadoop Projects and Have More Production Deployments Than in 2014
(firmenpresse) - STAMFORD, CT -- (Marketwired) -- 03/16/15 -- While an overwhelming majority of Hadoop users agree that data security is a critical requirement, most disagree or are not sure that its native security tools provide enough protection for their sensitive data, according to survey results released by , the leading provider of data-centric enterprise data security solutions.
Protegrity surveyed nearly 150 attendees at last month''s Strata + Hadoop World Summit in San Jose, Calif. on their use of the Hadoop platform for Big Data projects. When asked whether data security is a critical requirement for their Hadoop data lake or hub, 86 percent said that it was. However, when asked whether native Hadoop security was enough to protect their data, only 11 percent said it met their data security needs.
"When 89 percent of the Big Data professionals we surveyed disagree or are not sure that security tools native to Hadoop provide enough protection for their sensitive data, it demonstrates a tremendous need for increased education around Big Data security and the availability of more robust data security solutions for Hadoop," said Protegrity CEO Suni Munshani.
Indeed, 80 percent of those surveyed indicated that their organizations are using Hadoop in production environments. Supporting the growing hype around Hadoop, the Protegrity survey also revealed that 80 percent of respondents said their organizations will be spending more on Hadoop-related projects this year.
"Enterprises are storing and processing data across many execution engines at a scale that has not been possible before. This in turn has made security a crucial component of enterprise Hadoop," said Munshani. "Given how those surveyed said that production deployments and spending on Hadoop Big Data projects are increasing, responsible organizations are looking to apply enterprise-grade security to their highly sensitive data in Hadoop to meet corporate risk management standards, privacy policies and complex compliance and regulatory requirements."
Protegrity delivers enterprise data security solutions for Hadoop and other Big Data systems, helping organizations minimize risk, while also preserving the performance and agility needed to leverage the full power of Big Data across business operations.
Some unique aspects of include:
Going beyond traditional access controls and volume encryption to deliver truly granular data security;
Providing a fast path to protect Apache™ Hadoop®, Teradata Aster, Cloudera, Pivotal MapR, Hortonworks, IBM BigInsights, and more;
On-the-node data protection utilizing Protegrity Vaultless Tokenization (PVT) to guarantee data security and usability.
Protegrity has also teamed with Hortonworks to create the free , allowing users to learn how to protect and unprotect field-level data using policy-based tokenization with MapReduce, Hive, Pig, and HBase, restrict data access from unauthorized users, and better understand how can enable seamless, usable and secure data in Hortonworks Data Platform.
The full production-ready version of , available now online with a simple per-node maintenance fee, extends the capabilities of HDP native security with Protegrity Vaultless Tokenization, Extended HDFS Encryption, and the Protegrity Enterprise Security Administrator, for advanced data protection policy, key management and auditing.
Protegrity is the only enterprise data security software platform that leverages scalable, data-centric encryption, tokenization and masking to help businesses secure sensitive information while maintaining data usability. Built for complex, heterogeneous business environments, the Protegrity Data Security Platform provides unprecedented levels of data security certified across applications, data warehouses, mainframes, big data, and cloud environments. Companies trust Protegrity to help them manage risk, achieve compliance, enable business analytics, and confidently adopt new platforms. For additional information visit .
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Datum: 16.03.2015 - 08:01 Uhr
Sprache: Deutsch
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