PyData @ Blumberg Capital

We would like to thank Blumberg Capital for hosting us PHYSICALLY

Agenda
18:00-18:30 Gathering and snacks
18:30-18:45 Welcome words from our host
18:45-19:15 Using Coresets to Develop and Maintain Better Machine Learning Models| Eitan Netzer, Chief Scientist, DataHeroes
19:15-19:45 Lateral movement detection with LATMA (LATeral Movement Analyzer)| Gal Sadeh; Head of Data Science, Silverfort
19:45 Closing words

RSVP now to secure your spot!
39 Montefiore St., Tel Aviv , First floor, Blumberg Capital Space

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Using Coresets to Develop and Maintain Better Machine Learning Models| Eitan Netzer, Chief Scientist, DataHeroes
Coreset is a method for reducing the size of the dataset while keeping its statistical properties and corner cases. Eitan will explain and demonstrate how Coresets can be used to develop a better machine learning model in less time, as well as using Coresets to keep the model continuously updated once in production to avoid data drift, without requiring significant compute resources and time.

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Lateral movement detection with LATMA (LATeral Movement Analyzer)| Gal Sadeh; Head of Data Science, Silverfort
Lateral movement is the stage in which attackers spread in networks following initial access. So far, reliable detections of lateral movement attacks from a given set of authentications is an unaddressed challenge. This talk will present a new online algorithm for detecting lateral movement attacks which provides one false positive a day, 30 times better than the state-of-the-art algorithms. Our algorithm was trained and tested on data from more than 20 different enterprise environments. The detection method combines domain knowledge, practical machine learning and algorithmic tools.

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