Paloalto

                    With the addition of inline deep learning, Palo Alto Networks has advanced its machine learning capabilities to keep up with attackers’ evolving strategies. While signature-based detection is still essential for stopping recognized threats, dealing with these newer, more advanced tactics calls for a creative strategy.

 

  •  Deep learning stops the most evasive threats
  • Zero-delay signatures provide updates in seconds
  • ML-powered visibility across IoT and other connected devices
  • Maximize security and minimize downtime
 
 
 

                          You may go beyond the structured data analysis of machine learning and analyze data more as a human would with the first Next-Generation Firewalls to integrate inline deep learning, a subset of standard machine learning.

Zero-delay signatures ensure that the first user to see a threat is the only user to view that threat by updating every internet-connected NGFW in a network within a few seconds of an analysis.

Use cloud scale to compare device consumption, validate profiles, and fine-tune models so that devices don’t go unmanaged. Quickly and correctly profile any IoT device to identify its kind, vendor, model, firmware, and more.

Improve your security posture without hiring more employees or purchasing more equipment by using AIOps, and prevent expensive outages by forecasting firewall health.

Don’t allow sophisticated threats hinder your transition to the cloud. Move forward with AI and ML capabilities that stop more unknown command and control and zero-day assaults than conventional IPS solutions.

Take use of the innate simplicity and speed. Create and manage Cloud NGFW for Azure resources through the Azure interface. Then, for security policy administration, choose between the Azure portal and the Palo Alto Networks Panorama management system. Simple Azure Marketplace purchases are also beneficial.

Spend more time and money developing apps while simplifying cloud security administration. Use Palo Alto Networks with Microsoft Azure for the deployment, upkeep, availability, and scaling of security infrastructure.

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