NEWS: Logpoint Acquires Muninn
As the divide between the physical and digital worlds has blurred, we've seen a shift away from traditional supply chains and toward digital supply networks, transforming linear supply chains into linked ecosystems.Risk management in the supply chain is becoming increasingly difficult as a result of this. There could be thousands of various third, fourth, and fifth parties to consider for major organizations. The risk increases as more connected components communicate and store data, and the attack surfaces expand.
By now this sounds like a tale as old as times, hackers are specifically targeting hospitals and medical facilities, causing chaos by locking down their systems with ransomware.
This not only disrupts their ability to provide critical care but also puts sensitive patient data at risk. Although the number of attacks on hospitals hit its peak in 2021, the past three years have seen a rise in data breaches caused by ransomware. These breaches
involve stolen data, making the situation even more dire for organizations struggling to keep their systems running.
Read more in our Cyber Trends 2024.
Well, we had already faced attacks of various kinds, but fortunately without major impacts. However, we are aware of the danger. We have heard from other hospitals that have been crippled by cyberattacks, and we definitely want to avoid that.
At that time, we didn't have network monitoring in the true sense. However, we found this interesting and requested a demo or received a trial deployment of Muninn, which remained with us permanently after about 2 months and is now an integral part of our network security. We exclusively use Muninn AI Detect and limit ourselves to pure network monitoring.
"Muninn takes a lot of work off our hands. The system allows us to identify potential threats that would otherwise go unnoticed. It detects anomalies in network traffic and unusual device behaviors. Implementing Muninn has significantly improved our network security."
Fortunately, there have been no cyberattacks. With the introduction of Muninn, we also established a process for regularly evaluating Muninn notifications to ensure the secure operation of the network. So far, we have been able to attribute all alarm messages to regular clinical processes.
The detailed monitoring of the internal network is extremely helpful, especially for detecting unusual behavior or anomalies. For example, we can identify when a device suddenly has an unusually high number of accesses, which could indicate a potential threat. Additionally, we receive warning alerts about specific events, helping us to act proactively.
This is our first NDR, and we are quite satisfied with the features. Muninn takes a lot of work off our hands. The system allows us to identify potential threats that would otherwise go unnoticed. It detects anomalies in network traffic and unusual device behaviors. Implementing Muninn has significantly improved our network security.
