Palo Alto Networks launched an ML-powered Next-Generation Firewall (NGFW) with PAN-OS 10.0, which embeds machine learning in the core of the firewall to proactively assist in intelligently stopping threats, securing IoT devices, and recommending security policies.
Palo Alto Networks stated that by bringing these industry firsts into a single system, organizations can protect against up to 95% of unknown file and web-based threats instantly, automate policy recommendations, and provide instantaneous real-time protection; and extend visibility and security to all devices, including unmanaged IoT devices — without the need to deploy additional sensors.
The new release includes machine-learning-based in-line malware and phishing protection to help prevent previously unknown attacks.
The ML-Powered NGFW uses machine learning to analyze vast amounts of telemetry data, and then recommend policies. Users are now able to view and adopt IoT Security policy recommendations for safe device behavior.
“As enterprise networks are widening — with hybrid clouds, IoT devices and home offices — and attacks rapidly and automatically evolve, we again need a radical new approach to cybersecurity,” said Nir Zuk, the founder and chief technology officer at Palo Alto Networks. “PAN-OS version 10.0 ushers in the world’s first ML-Powered NGFW, which is continuously learning and proactively improving security across multiple fronts, so security professionals don’t just keep up but get ahead.”
In addition, PAN-OS 10.0 introduces the CN-Series, a containerized form factor for the ML-Powered NGFW, and 70+ innovative new capabilities, including easier decryption, high availability clustering, a new high-performance hardware card, Threat Prevention and DNS Security enhancements, according to the company in a post.
