MDR: A Practical Approach to Security Automation

When you use a cloud server for your company’s data, one thing you likely worry about regularly is its security. While you can run your own protection programs, it’s best to use the ones offered by the provider since they know what’s best for their system.

Out of all the various types of systems that exist, MDR security services stand out as one of the best. Even though it’s the one that we offer to our customers, we don’t expect you to simply take our word for it. That’s why we’ve put together this blog post going over how MDR services are a practical approach to security automation.

Automatic Detection

With the sheer number of online threats these days, no human-run security system will be able to cut it. The program needs to run itself in order to keep up. This is where MDR systems excel. They deliver 24/7 monitoring for their users, and they do that without any external input. Because of this level of automation, response times can be near-instant when a hacker manages to break through the firewall.

Restoration and Repair

Of course, detection is only one part of the process. In order to be considered an effective system, MDR needs to be able to restore and repair the aftermath of an intrusion as well. After detection, MDR goes into response mode and attempts to remove the malware while reestablishing any lost data that was lost or altered. Due to how these intrusions typically work, MDR systems need to respond quickly to have a chance at stopping the damage before it becomes too severe.

The Human Element

As great as the computerization of these two elements are, no automated system is perfect. There will be issues, but that’s what makes MDR services a practical approach to security automation—they retain the human element. Security analysts check reports to ensure that the system diagnoses and fixes customer data properly. When needed, they’ll intervene and remedy the problems that the system couldn’t handle. Here at Atmosera, we always ensure that we have a highly skilled team to address these difficulties when the need arises.

Machine Learning

Of course, providers want to make sure the automated MDR systems are well equipped to handle new problems on their own whenever possible. That’s why these programs have been deeply integrated with machine-learning capabilities. In the world of cybersecurity, new threats are a constant, so automated systems need to have the ability to detect these new threats without external input. Machine learning allows this to happen. Obviously, it’s still not perfect, which is another reason to have a team of professionals who monitor the system, but it gives it a fighting chance to figure out new problems on its own.