“Be trusted advisors to customers and enable them to have a stronger understanding on information risk mitigation.” This adage is the mission statement …
An enterprise strategy for DLP requires security and risk management leaders to identify sensitive data, build use cases for appropriate data handling, develop policies and workflows to address requirements, and integrate with other security technologies.
As we kick off the new year, it is important to stay current with the biggest trends that will impact how you manage, store, and protect your data in 2017 and beyond. Learn about what you can expect from this new year when it comes to your IT infrastructure. We will be taking a look forward at high capacity flash drives, object storage, and more.
2016 was a landmark year for big data with more organizations storing, processing, and extracting value from data of all forms and sizes. In 2017, systems that support large volumes of both structured and unstructured data will continue to rise. The market will demand platforms that help data custodians govern and secure big data while empowering end users to analyze that data. These systems will mature to operate well inside of enterprise IT systems and standards.
Technology moves swiftly. Nowhere is that more accurate than in the current state of machine learning. One merely has to look at a variety of ubiquitous technological experiences they undergo each day, and find a myriad of machine learning applications at their core. Take, for example, the task of online shopping. Almost every large online storefront will recommend items you may want to purchase. These recommendations are based on a few data points; for example, previous shopping history, your recent searches, or even based on who your friends are. Machine learning demands that one consider this vast amount of data in order to come up with a simple answer: What item might you like to purchase?