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Asaf Fried

Asaf leads the Data Science team in Cato Research Labs at Cato Networks. Member of Cato Ctrl. Asaf has more than six years of both academic and industry experience in applying state-of-the-art and novel machine learning methods to the domain of networking and cybersecurity. His main research interests include asset discovery, risk assessment, and network-based attacks in enterprise environments.

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How Cato Uses Large Language Models to Improve Data Loss PreventionMachine Learning in Action – An In-Depth Look at Identifying Operating Systems Through a TCP/IP Based Model Enhancing Security and Asset Management with AI/ML in Cato Networks’ SASE ProductIoT has an identity problem. Here’s how to solve itInside Cato: How a Data Driven Approach Improves Client Identification in Enterprise NetworksCato Networks Adds Protection from the Perils of Cybersquatting

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