4 Key Elements of an ML-Powered NGFW

4 Key Elements of an ML-Powered NGFW

Disrupt the Network Security Status Quo

Nonstop malware variants delivered by attackers using automation...

Increasing complexity introduced by public and hybrid cloud adoption...

New cybersecurity risks due to the explosion of IoT devices...

With so many fundamental changes and challenges in today’s IT environments and threat landscape, it should come as no surprise that traditional network security is simply no longer enough. You need a proactive, cloud-based and machine learning-driven approach to keep your networks safe.

In our e-book, you’ll learn how a new type of next-generation firewall, the ML-Powered NGFW, embeds machine learning directly in the core of the firewall to provide real-time IoT device identification and inline, signatureless attack prevention.

Find out how you can take advantage of all the benefits an ML-Powered NGFW has to offer, including these four main elements:

  • Inline ML-powered prevention on the NGFW itself
  • Zero-delay signatures leveraging massive cloud scale
  • ML-powered visibility across IoT and other connected devices
  • Automated, intelligent policy recommendations

See how an ML-Powered NGFW sets the new standard as the ideal enterprise control point, serving as the first line of defense in any modern, highly effective security platform.




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