Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At a point in time, smart devices and robotics were common elements in the storyline of futuristic fictional novels. Today, those concepts are the modern norm across the technology industry. Similarly, in cybersecurity, pioneering professionals held on to seemingly far-fetched dreams where logs were easy to analyze, and false positives didn’t exist. While these challenges still exist, artificial intelligence (AI) is making these once far-fetched dreams the new norm in the security industry.

It wasn’t a very long time ago when cloud computing was a niche field that only the most advanced organizations were dabbling with. Now the cloud is very much the mainstream, and it is rare to find a business that uses IT that doesn’t rely on it for a part of their infrastructure. But if you are going to add cloud services to your company, you will need to choose between the private cloud and the public cloud.

Artificial intelligence (AI) is used all around us and if you’ve used some sort of voice activated technology to make your life easier, then there was likely some element of AI involved. Some of the most notable examples include Siri, Amazon Alexa, Google Assistant and Tesla semi-autonomous vehicles. Individual consumers no longer have to fumble around in the dark to flip the light switch at home, manually search playlists for songs, or type in a password to get into smartphones.

Machine learning (ML) technology has the potential to generate tremendous value for businesses. It is already proving itself in the market and powering a growing number of tools across virtually every industry. In order to discuss the current capabilities of ML, we must first examine how it relates to artificial intelligence (AI). Then, we can explore where ML software is today, its real-world applications, and how it’s transforming business.

Your company has decided to adopt the Cloud. Or maybe it was among the first ones that decided to rely on virtualized environments before it was even a thing. In either case, cloud security has to be managed. How do you go about that?

Server architecture can differ in a lot of ways, but the three main categories would be on-prem, cloud and serverless. Some believe that cloud and serverless can be used interchangeably, which is not the case. To help clear up some confusion, this blog post will explain each of them and how it affects the security work.

One thing that’s become evident to me after years attending Mobile World Congress is that, in fact, there are several events running in parallel, with a few common denominators: network technology providers, device manufacturers, telecom operators, and services companies all come to Barcelona to present and demonstrate the latest and greatest of the year’s dominating trends.

Termite is a tool used to connect together chains of machines on a network. You can run Termite on a surprising number of platforms including mobile devices, routers, servers and desktops. That means it can be used used to bounce a connection between multiple machines, to maintain a connection that otherwise wouldn’t be possible.