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Asaf Fried

Asaf Fried leads the data science team within Cato Research Labs at Cato Networks, a leading network security provider with more than 2,200 enterprise customers and 1,000 employees across 30 countries. Previously a data scientist at Check Point Software, he has academic and industry experience in applying 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. He earned a MS degree from Ben-Gurion University of the Negev with his thesis on “Facing Airborne Attacks on ADS-B Data with Autoencoders” and received a bachelor’s degree in computer science from Reichman University.

LLMs, security, risk, Google AI LLM vulnerability

How LLMs are Revolutionizing Data Loss Prevention

Asaf Fried | August 14, 2024 | bidirectional processing, cyberattacks, Data Loss Prevention, DLP, future-proofing, large language models, LLMs, malicious actors, Natural Language Processing, policy enforcement, Secure Access Service Edge (SASE), Security Service Edge (SSE), semantic meaning, Sentence-BERT, vector representation

As data protection laws take hold across the world and the consequences of data loss become more severe, let’s take a closer look at the transformative potential that LLMs bring to the table ... Read More

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