Securing data at rest and data in motion

Securing data at rest and data in motion

Creating a secure application requires many safeguards, but by far the most important are those that secure the data in the application. These are also the most difficult to implement.When it comes to securing application data, there are two distinct types of data...
Securing data at rest and data in motion

Open source isn’t working for AI

Clearly, we need to do something about how we talk about open source and openness in general. It’s been clear since at least 2006 when I rightly got smacked down for calling out Google and Yahoo! for holding back on open source. As Tim O’Reilly wrote at the time, in a...
Securing data at rest and data in motion

Cloud Data Loss Prevention (Cloud DLP) Overview

Sensitive data can show up in unexpected places—for example, customers might inadvertently send you sensitive data in a customer support chat or file upload. And if you’re using data for analytics and machine learning, it’s imperative that sensitive data be handled...
Securing data at rest and data in motion

Moving data from the mainframe to the cloud made easy

IBM mainframes have been around since the 1950s and are still vital for many organizations. In recent years many companies that rely on mainframes have been working towards migrating to the cloud. This is motivated by the need to stay relevant, the increasing shortage...