In this episode of Defrag This, we discuss the nuances of IT networks in dangerous industries.
There are so many types of log data to monitor and manage, but what are the most important logs to track? These are the top four types of log data that every IT team should be holding on to just in case.
Automation is not always AI, but AI is an automated system. It’s easy to get the two terms confused because they both run off the same thing—data. However, the differences are far-reaching, and it’s important to know the differences between AI and Automation.
It’s hard to say if things are looking up or down for data security. It seems that companies across all industries are making a point to secure all their data in the wake of the massive data breaches of the past few years.
Honeypot servers defend digital assets by attracting cybercriminals and allowing their activities to be analyzed.
2018 will go down as the year that the rules changed for data privacy and data protection standards. I’m of course referring to the GDPR that was enacted in May 2018.
And here we are yet again. Another year and another array of data breaches to talk about over the course of the year. So what exactly defined 2018 when it came to data security?
Too many IT professionals believe that companies that provide cloud platforms and services, such as AWS or Google Cloud, handle all the cloud-related security. Considering how much business transpires in the cloud, this is a dangerous assumption to make.
It’s the proverbial 1,000-pound gorilla—a compliance violation. Perhaps you haven’t seen one yet, but you know it’s out there lurking, and it just might come banging on your door any day now.