Artificial intelligence and its cousin machine learning are words that keep cropping up in almost every industry at the moment. Sometimes as buzzwords, sometimes with real innovation, but always with the outlook that both Ai and ML are going to be employed a lot more across a whole spectrum of businesses.

It shouldn’t come as a surprise to anyone reading this article that there has been a major shift towards businesses hosting their critical applications in the cloud. Software-as-a-Service (SaaS), as well as cloud-based servers from Amazon or Microsoft, have changed the way we build networked business systems for any size organization.

Previously we introduced the concept of cloud leaks, and then examined how they happen. Now we’ll take a look at why they matter. To understand the consequences of cloud leaks for the organizations involved, we should first take a close look at exactly what it is that’s being leaked. Then we can examine some of the traditional ways information has been exploited, as well as some new and future threats such data exposures pose.

The insurance industry has been consistently targeted for cyber attacks as of late, for good reason: sensitive data is at the heart of every process—from handling health insurance claims to archiving medical histories. And because medical records are worth ten times more than credit card information on the black market, firms handling said data are required to take extra precautions in bolstering information security.