The platform from Palo Alto Networks has been able to learn machines (ML) for years, but with the new operating system version PAN-OS 10.0, this functionality is embedded for the first time in the next-generation firewall (NGFW). “Malware detection is becoming increasingly difficult. With Automation and ML, we are responding to the rapidly changing threat landscape, ”explains Martin Zeitler, Director Systems Engineering at Palo Alto Networks.
This is to help stop threats intelligently and protect IoT devices. The NGFW uses ML to analyze huge amounts of data and then recommend guidelines to administrators. This saves time and reduces the risk of human error. “However, machine learning does not work completely independently, but has to be trained. Wildfire does this training for us, which analyzes and evaluates samples, ”emphasizes Zeitler. ML on its own detects around 95 percent of all threats. The remaining five percent are to be covered by wildfire analyzes. Detection and analysis of malware that used to take several minutes in previous versions now only takes a few seconds.
Administrators get a clear view of the security situation in a clear view and can view individual components on request. The policy guidelines are enforced automatically.
At the same time, Palo Alto Networks introduces the CN series, an NGFW for containers as a pure software solution, initially for Kubernetes. New features include easier decryption, high-availability clustering, a new high-performance hardware card, and improvements in threat protection and DNS security.
PAN-OS version 10.0 will be available in July.
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