- By leveraging massive cloud scale, this next-generation firewall provides zero-delay signature detection to empower early response.
- Integrated machine learning offers complete visibility across IoT networks and other connected devices.
- By collecting threat and contextual data over time, the PA-400 series can offer automated and intelligent policy recommendations to improve overall network security.
In practice, machine learning makes it possible for NGFWs to dynamically evolve alongside security threats. As new tactics emerge, these firewalls learn what sets them apart from previously detected threats and then contextualize them within the larger corporate network.
Firewalls Support Zero-Trust Solutions
A zero-trust security model is essential for modern data protection, especially as enterprises shift to long-term hybrid work models, with employees using a variety of corporate-owned and personal endpoints. “Attackers often view these endpoints as back doors into the larger enterprise,” says O’Brien. “While distributed enterprises with thousands of branches are also subject to attacks at every location, valuable customer data and financial transactions are prime targets for attackers.”
Zero-trust architecture assumes nothing and authenticates everything to increase overall security. Next-generation firewalls help support zero-trust architecture by capturing contextual data about network activities that can help inform decisions to grant or deny access.
When it comes to the impact of the PA-400 series on enterprise security, O’Brien doesn’t mince words.
“Reactive security can’t keep up with today’s threats — or prepare you for tomorrow’s,” he says. “Palo Alto Networks’ 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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