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Converged single pass processing, purpose built global cloud service, and open data platform.
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360-degree visibility and control, autonomous life cycle and posture management, gradual low risk deployment, and universal management.
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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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- 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
Shay Siksik
Shay Siksik is a Security Analyst Manager in Cato Research Labs at Cato Networks. Shay served in an elite cybersecurity unit in Israel Defense Forces (IDF) and has more than 15 years of experience in the network security area. Previously, he was the Director of Solution Architecture and Technical Enablement at Skybox Security.
Introducing the Cato Cloud API: Why We Chose GraphQL over REST
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