siliconindia | | June 201819· Unstructured data is growing at an alarming rate of 70 percent per year.Unstructured Data is Vulnerable· 41 percent of companies have thousands of sensitive files open to everyone. · Many consumer-facing companies ask their customers for scanned copies of driver's license or credit card, but have inadequate security controls to protect them. The recent FedEx data breach exposed 100,000 scanned documents including passports, drivers licenses, and security IDs on an unsecured Amazon S3 server.Rapid Adoption of Cloud· Over 90 percent of enterprises report using the cloud as part of their business.· 83 percent of enterprise workloads will be in the cloud by 2020.The current generation of data security tools, unfortu-nately, have not kept pace with these trends. They still ca-ter to traditional relational databases. They have weak to negligible support for discovering sensitive data in images, unstructured text data, NoSQL databases, and cloud object stores such as Amazon S3. Moreover, they are not capable of operating at Big data scale to protect Hadoop data lakes. No wonder data breaches are on the rise.To put it plainly, the current generation of data securi-ty tools is built for the previous generation of data. These tools still serve the old data world ruled by relational data-bases. This needs to change, and fast.Change Catalyst: GDPRAs a result of many companies cavalier attitude towards the personal data of their customers, the European Union passed the General Data Protection Regulation (GDPR) a few years ago, and it went into effect just a few short days ago on May 25, 2018. The GDPR is a legislation with teeth; the fines are draconian -- up to four percent of the annu-al worldwide revenue. Companies, for the first time, are required to treat the personal data of their customers as it should always have been treated -- owned by the custom-ers, not by the companies.Given the flurry of data breaches the companies are re-porting and the recent fiasco between Facebook and Cam-bridge Analytica. It is just a matter of time before a GDPR like regulation is adopted by the rest of the world.With the GDPR, data security is no longer a nice-to-have; it now is a must-have. Once again, there is a chasm between (a) the capabilities of the current generation of data security tools and (b) the GDPR mandates. There, sim-ply, are not any adequate data security tools to support the following capabilities necessitated by the GDPR:1. Automatically discover sensitive data stored in Cloud, NoSQL, Hadoop, and also relational databases.2. Monitor for new sensitive data and anomalous ac-cess patterns in Cloud, NoSQL, Hadoop, and also relational databases.Next Generation of Data Security ToolsThe need of the hour is a new generation of data security tool aligned with the trends of the new data world dominat-ed by Cloud, NoSQL, Hadoop, and unstructured data.ConclusionThe new data world needs new data security tools. The growing frequency & size of data breaches coupled with stringent regulations such as GDPR necessitate the need for new generation of data security tools that serve the data of today -- both unstructured text/image data & struc-tured data stored in Cloud object stores, NoSQL databases, Hadoop, and traditional relational databases. The need of the hour is a new generation of data security tool aligned with the trends of the new data world dominated by Cloud, NoSQL, Hadoop, and unstructured data
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