3 Tools to Safeguard Your Big Data in the Cloud

March 1, 2016

8:00 pm

In the past few weeks, there have been dozens of articles dedicated to discussing the growing security concerns revolving Big Data and the cloud – or, specifically, Big Data moving to the cloud. In seeing that the Internet of Things, which consumes large amounts of data in the cloud, is quickly emerging, enterprises are worrying that vulnerabilities in the cloud might perpetuate security breaches.

In a survey released February 24, conducted by 451 Research and sponsored by Vormetric, it was discovered that a large majority of information technology executives (85 percent) use the cloud to store sensitive data; this is up from just a slight majority (54 percent) last year. Still, the kicker is that most of the respondents have cited several data security concerns in doing so, including security breaches and attacks, vulnerabilities from shared infrastructure, lack of control over the location of the data, and lack of a data privacy policy. The adoption of IoT only fueled these concerns further.

So, I and dozens of others have acknowledged the growing concern – but what is the solution? Here are a few cloud vendors aiming to tighten data security for enterprises.

1. ZBDB by SQream Technologies

SQream, a Big Data analytics company that boosts analytics performance through massive parallel computing and utilizing GPUs, has developed a secure cloud analytics data warehouse for SMBs and enterprises called ZBDB. ZBDB is powered by SQream DB, uses ANSI SQL and standard data API (JDBC, ODBC, .NET), and runs on the IBM Softlayer platform — which is compliant with security standards such as ISO, SOC, PCI, and HIPAA. In addition, the data stored within ZBDB is transferred via secure TLS or encrypted VPNs. Thus, in adopting ZBDB, which because it’s cost-effective is able to compete with AWS Redshift, businesses can be certain that their stored data is safe and secure.

2. SentinelOne

Last week, SentinelOne, an endpoint protection vendor, released an endpoint platform that protects enterprise data centers and cloud providers from security threats that target Linux servers. In specific, SentinelOne uses lightweight autonomous agents to monitor activity in the servers and the agents apply machine learning algorithms to predict possible threats. If the application detects malicious activities, it subsequently deploys mitigation and quarantine processes to eliminate them. In considering that 41% of information technology executives in the survey named their servers as the most vulnerable areas, this cloud security solution is especially useful.

3. Cloudera and Gazzang

In order to improve Hadoop security, Cloudera acquired Gazzang, an encryption and key management developer. Today, this solution is becoming more relevant. In the same cloud security survey, for example, it was revealed that enterprises are increasingly using encryption in order to secure their clouds – however, most prefer to manage their own encryption keys. Thus, 451 Research predicted that encryption in the cloud, either in-house or via a third-party solution, will become more prevalent in years to come. In acquiring Gazzang, Cloudera addressed its biggest security gap, offering encryption for data stored within the Hadoop cluster. It hopes to quell security concerns for companies debating whether it’s prudent to store valuable and sensitive data in public cloud environments.

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Shachar is Ranky's Co-Founder. He dreams about Growth, wakes up to the Tweets of birds and he's literally a Social person. He is also a soccer fan and gadgets addict. Stalk him on Google+ and Twitter.

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