Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we’ll talk about why incorporating AI into your UEM strategy may be inevitable.

If you thought masked hackers in dark rooms spreading malware were your only security concern, think again. In its Insider Threat Report for 2018, Crowd Research Partners brought to light that almost 90 percent of organizations find themselves vulnerable to insider threats. What’s worse is that 50 percent of these organizations experienced an insider attack in 2018.

Despite decades of development, deep learning has been boosted by the increasing processing power of computers and the immense amount of data available, which has allowed it to obtain some achievements that were unthinkable years ago. Deep learning is at the heart of what we know today as artificial intelligence. However, like everything that is talked about a lot, deep learning has formed a series of myths that do not always obey reality.

I’ve been designing monitoring tools for almost 10 years now, and in that time a lot has changed. The infrastructure we build software on, for example, has been transformed multiple times—moving first from physical hosts to VMs in the cloud, then from VMs to containers, and now from containers to serverless and cloud service-based infrastructure.