Gal Braun

Gal Braun is a Staff Data Scientist at SentinelOne, where he has been working for over six years. His expertise lies in data science and machine learning, with a particular focus on explainability, representation learning, and visualizations. He is involved in developing tools that utilize machine learning to enhance cybersecurity, specifically through projects like Quiver, which aims to analyze command lines for threat detection.13

In addition to his technical role, Gal Braun is also recognized for his contributions to discussions on the challenges of labeling data in machine learning models and the importance of understanding command line semantics in cybersecurity contexts.1 He holds a Master of Science degree in Information Systems Engineering, specializing in Machine Learning and Big Data.

Outside of work, Gal identifies as a father of two and enjoys popular culture, particularly noting that "Breaking Bad" is his favorite show.1 His professional presence can be found on LinkedIn under the username galbraun.2