- SASE
- Platform
- Platform Architecture
- Core Components
Converged single pass processing, purpose built global cloud service, and open data platform.
- Design Principles
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
- AI and Machine Learning
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.
- Core Components
- Platform Capabilities
- Platform Features
- Platform Architecture
- Security
- Use Cases
- Customers
- Partners
- Managed Services
- Company
- Resources
- SASE
- Platform
- Platform Architecture
- Core Components
Converged single pass processing, purpose built global cloud service, and open data platform.
- Design Principles
360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
- AI and Machine Learning
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.
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- Core Components
- Platform Capabilities
- Platform Features
- Platform Architecture
- Security
- Use Cases
- Customers
- Partners
- Managed Services
- Company
- Resources
Demo
DEMO
Cato Demo: What a modern, SASE-based network monitoring should really look like
In this video, Cato’s Senior Director of WW Sales Engineering Mark Bayne demos what a modern, SASE-based network monitoring should really look like.
Mark takes us through the many layers of monitoring Cato’s SASE offers. He starts with the basic connectivity metrics, then proceeds into the specific application usage, leveraging Cato’s application awareness technology, and then onto Cato’s unique real-time views, showing live application prioritization, routing and users.
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