With cloud computing now best practice and data shared across a complex array of third parties, the perimeter is barely recognizable. How useful are controls, such as Data Loss Prevention or Cloud Access Security Brokers, when employees starting skunk work projects, or visit websites to use the latest software-as-a-service portal? Organizations are finding it increasingly difficult to know where their data is stored and shared, and do not have the tools or know-how to detect and mitigate this exposure.
Digital risk, and particularly that which manifests from outside an organization‘s traditional boundary, is a critical missing part of a company‘s overall risk profile. Organizations need to identify their exposure and understand the threats to their critical assets to better manage digital risks. By detecting data loss, securing their online brand, and reducing their attack surface, organizations can reduce the loss of revenue, intellectual property, and reputational damage.
Many regard big data as the biggest change in the IT industry of the last decade. However, big data is still just data. Like ordinary data, big data consists of words, codes, numbers, dates, images, videos, and text. The big data trend did not introduce a new type of data. Big data systems process, store and analyze more of the same data. Evidently, to efficiently support these massive quantities of data, new technology was needed.