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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.
Built-in (not bolted-on) AI is used across every aspect of the platform, from operational tasks to advanced security
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.
Built-in (not bolted-on) AI is used across every aspect of the platform, from operational tasks to advanced security
Yael Lapidot, Security Researcher at Cato Networks. Member of Cato Ctrl. Yael has a deep interest in cybersecurity, OS internals, reverse engineering, and malicious traffic detection using big data analytics, with a strong enthusiasm for machine learning. Formerly a Security Development Team Lead at Trusteer, IBM, Yael spearheaded the creation of cutting-edge security solutions aimed at identifying and mitigating threats posed by financial malware variants and vulnerabilities on both Desktop and Mobile platforms. Yael earned a B.Sc. in Electrical and Electronics Engineering from Tel Aviv University and possesses over 10 years of experience in cybersecurity.
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