CybelAngel is proud to have hosted WiMLDS, Women interested in Machine Learning & Data Science, at our Paris office over the weekend. WiMLDS and Marie Sacksick, Senior Data Scientist at CybelAngel, hosted a sold-out crowd for a scikit-learn sprint. The scikit sprint was a day dedicated to helping participants work on one issue (big or small!) of the scikit-learn repository. The full-day workshop was dedicated to open-source contributions with one goal: to help participants make their first Pull Request! WiMLDS is a community of women interested in Machine Learning & Data Science.

CybelAngel has several advantages going for itself in machine learning. The first is that CybelAngel ML models have seven years' worth of training data. Beginning in 2015, CybelAngel conducted its first mass scan of the internet. Today we collect three billion new data points daily. This gives the CybelAngel Data Science team a massive historical data set to train our models on.

CybelAngel is able to alert on a set of sensitive blueprints amidst the thousands of billions of documents available on the web. Ever wondered how we are able to do it? Let us introduce you to the latest Machine Learning model for data leak detection: Content Scoring. While nothing will replace cyber-analysts, technology can help lower the noise, speed up the detection of real threats, and contextualize the leak to facilitate the investigation. As CybelAngel deploys new detection capacities across file servers, we have drastically improved our Machine Learning algorithms used for filtering and contextualizing.