Converged single pass processing, purpose built global cloud service, and open data platform.
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
Converged single pass processing, purpose built global cloud service, and open data platform.
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
AI/ML for threat intelligence and unclassified application identification, ML engines for threat prevention and incident criticality, ML models for device classification, and GenAI for productivity.
In this video, Cato’s Sales Engineer Nick Gagliardi demos how traffic to specific cloud applications can be optimized by keeping it on Cato’s private backbone instead of the public Internet.
Nick shows how simple and straightforward it is to set an ‘egress rule’ that keeps the network traffic of a specific cloud application on Cato’s private backbone, rather than exposing it to the unpredictability of the Internet. By doing so, cloud applications benefit from all the optimization and security of Cato’s SASE platform, making them perform as good as private applications hosted on private datacenters.
(Tip: Watch until the end to see what’s #1 on Netflix in Germany).
With Cato, any organization can reap the full benefits of digital transformation, move at the speed of business, and be ready for whatever’s next.