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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.
Daniel Liber has been in the cyber security industry for over 19 years with a vast experience both as a consultant and as in-house security team. He has worked as a penetration tester and application security engineer for Comsec, Leumi Bank, CyberArk and Amdocs, and later served as Application Security Manager and CISO in Playtech (LSE:PTEC). Daniel has lectured in different conferences (OWASP, BSides, DeepSec and more), and serving also as an advisor for early age startups. Daniel has joined Cato Networks recently and along with the Security team, they are on a mission to make Cato not just the best product, but the most secure one.
With Cato, any organization can reap the full benefits of digital transformation, move at the speed of business, and be ready for whatever’s next.