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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.
Gil Haham is the team leader of Cato's App-Network research team, responsible for analyzing and researching networking and applicative traffic and translating it into insights for the Cato Cloud platform. Gil has over five years of experience in the Network Security domain. Before joining Cato, he worked as a network researcher at Allot. He holds a B.Sc. in Computer Science and Psychology from Bar Ilan University.
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