Today is Data Privacy Day, an international awareness day held annually on January 28 to promote the importance of respecting privacy, safeguarding data and enabling trust. It was initially celebrated in Europe in 2007 to commemorate the Jan 28, 1981 signing of Convention 108, the first legally binding international treaty dealing with privacy and data protection. Today, it is celebrated worldwide, with many events, resources and even a live stream sponsored by the National Cyber Security Alliance.
Encryption has been the primary mechanism to protect data since public key encryption was invented in 1976. Encryption does not allow data to be “seen,” and generally applies to three data states: “in transit” data moving between different places, “at rest” data on disk and “in memory” data currently being processed on a system.
When we talk to companies around the world, a common topic of discussion is the transformational nature of cloud technologies. In a very short time, the cloud has disrupted every aspect of how IT infrastructure, resources and software are deployed and managed. While there’s near-universal agreement on the economic benefits of this, it’s not all good news: In these discussions, the conversation invariably turns toward the growing challenges of cloud security management - in particular, the management of the encryption keys that are fundamental to cloud security.
We’re immersed in the world of security this week at the RSA Conference 2018 in San Francisco. There’s no question that the recent flood of news regarding corporate data security breaches and the need for significantly better policies to protect personal information are just a couple of the reasons why this event could not be more timely and relevant.
At Mobile World Congress 2017 there is a lot of buzz around the massive amounts and types of data that mobile devices will be adding to the deluge of big data traffic that is already traveling over today’s enterprise networks.
Analytics is one of those business functions that is a perfect fit for public or hybrid clouds. Companies are turning to cloud-based analytics for easier access to increasing amounts of data, greater data sharing and collaboration, faster insights and time to value, and to reduce operational costs.
A data lake is a storage mechanism designed to facilitate the colocation and use of many different types of data, including data that is date-defined using various schemata, structural frameworks, blobs and other files.