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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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Sergey Volkovich
Data Scientist
Sergey Volkovich is a data scientist at Cato Networks. At Cato, Sergey’s main area of focus is state-of-the-art natural language processing. Prior to Cato, Sergey held multiple positions across diverse deep learning projects, ranging from publishing a paper on discovering new particles at the Weizmann Institute to advancing computer networks and algorithmic trading at Veego and Sapphire. Sergey holds a Master of Science (M.S.) in Physics and a Bachelor of Science (B.S.) in Physics from Bar-Ilan University.
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