Building on previous research, white papers, and other projects from Adobe’s Security Intelligence Team, OSAS out-of-the-box allows researchers to experiment with datasets, control data processing and feature combining, and help identify a solution for detecting security threats.

The new open-source project tackles the issue of data sparsity, which may appear when using machine learning (ML) algorithms and models with security logs that present a large feature-space, in which case previously unseen examples may be poorly handled.