It’s hard not to notice the growing influence of automation in different aspects of our daily lives. Automation is everywhere, and most importantly, in our places of work. Many tasks that we have always performed manually are now automated. For instance, a psychotherapist will pull out an exercise for a common issue out of a computer program.
Self-serve cash registers are now commonplace in the west, and oh, the news is now filled with job cut announcements all thanks to automation projects. But that’s not all. Automated systems have become more intelligent, which means that they can now take on more complicated tasks. The effects of this sophistication have been felt in the IT industry to a greater extent.
Automation, Machine Learning, and IT Security
One of the frontrunners in the automation race is IT security. Vendors from all over the world have been flooding the IT security market with automation products. Machine learning is one of the topics that are dominating the IT security market at the moment. Most people don’t understand what machine learning is all about, and in most cases, the term is confused with artificial intelligence which is not the same thing.
The two terms are related in the sense that they are both somehow lead to the subject of robotics, but they are quite different. Machine learning is a subset of artificial intelligence, but it’s more practical and applicable. But, when talking about the automation of cybersecurity, it’s the technology you should be thinking about. Machine learning is on the verge of revolutionizing cybersecurity. But as a cybersecurity expert, should you be worried about your job?
IT Security Automation and Job Security
No organization is safe from cyber threats. Less than 40 percent of all organizations in the world are capable of defending themselves from a sophisticated cyber attack; the actual number is 38 percent. This information comes at a time when the number of cyber attacks is increasing on the daily; no one can claim to be safe. Cybercriminals have become savvier and attacks are becoming more frequent.
All this is happening at a rate that most organizations can’t keep up with hence the need for new solutions. That’s where machine learning and IT security automation comes in. Humans aren’t capable of making quick, highly impactful decisions to address these attacks and be equally efficient. IT personnel are no match for these intensive, sustained attacks. The sheer volume of incoming threats is too overwhelming and IT security people simply can’t keep up.
Just like we have seen in other industries, automation in the IT security sector can only decrease operational time and increase efficiency. Automation also leads to the reduction of risk and operation errors. Therefore, automation can only improve cybersecurity performance.
But what happens to IT security personnel when cybersecurity is automated? Well, as automation takes some of the jobs, it leads to the creation of new ones. Cybersecurity professionals don’t have any reasons to be worried. These systems can’t work by themselves, too. They need supervision. Cybersecurity automation is a good thing and can only lead to the creation of more opportunities.