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- SASE
- Platform
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- 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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Oz Soprin
Oz Soprin is a security researcher at Cato Networks and member of Cato CTRL. Prior to Cato, Oz worked at Microsoft and Palo Alto Networks, where he specialized in Identity and User Behavior Analytics (UEBA) and developed detection logic across diverse data sources. Oz's expertise spans over 8 years, including military intelligence analysis and enterprise security research, showcasing his dedication to innovative threat detection in enterprise environments. Oz holds a Master of Business Administration (MBA) from Tel Aviv University and a Bachelor of Science (B.S.) in Computer Science from The College of Management Academic Studies.
Cato CTRL Threat Research: Advanced Behavioral Analysis of IoT and OT Devices for IoC Collection
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