Palo Alto Networks, a 10-time leader in network firewalls, announced Nebula, the latest upgrade of its PAN-OS software, to help find the zero-day attacks and stop them in their tracks.
PAN-OS 10.2 Nebula collects, analyzes and interprets zero-day threats in real time using inline deep learning — a network security first. This results in six times faster prevention and 48 percent more evasive threats detected, surpassing anything previously available.
More information about PAN-OS 10.2 Nebula is available here, or join the virtual launch event starting on March 22 to learn more.
Nebula also introduces AIOps — Palo Alto Networks tenth security service — and the new Advanced Threat Prevention service while enhancing Advanced URL Filtering, DNS Security, IoT Security and other related security services.
A new intrusion prevention system (IPS), which brings security analysis from “offline” to “inline” using cloud compute for AI and deep learning techniques — without sacrificing performance. Advanced Threat Prevention can detect many unknown and targeted command and control (C2) attacks as well as evasive attacks from tools such as Cobalt Strike.
The new AIOps uses machine learning to predict up to 51 percent of disruptions to NGFWs before they impact the firewalls. In addition, with telemetry from over 6,000 deployments, AIOps recommends best practices to improve overall security posture.
It extends protection for the latest DNS-based attack techniques, including strategically aged domains, making it the most comprehensive DNS security solution available with 40 percent more DNS-based threat coverage than other leading vendors.
Adds prevention of new, highly evasive phishing attacks, ransomware and other web-based attacks through deep learning-powered analysis of web traffic — now including live web content — in real time and inline.
Simplifies IoT device visibility and automates policy creation across seen and unseen devices by using machine learning.