OSAS is a recently released open-source security intelligence toolset that leverages machine learning and other innovative technologies aimed at discovering anomalies in a given dataset. The tool implements and combines several of the Adobe Security Intelligence Team’s previous research, white papers, and other open-source projects. OSAS is able to run “out-of-the-box” and enables researchers to: (a) experiment with data sets; (b) control how the data set is processed and how the features are combined; and (c) can help shorten the path to finding a balanced solution for detecting security threats.
This webcast will introduce folks to OSAS, its potential benefits and uses in their own threat intelligence efforts, and how they can obtain the latest builds of the project and contribute to it if they choose.