Sharing and Automation for Privacy Preserving Attack Neutralization

Dreamlab has participated in the Horizon 2020 funded project "Sharing and Automation for Privacy Preserving Attack Neutralization" (SAPPAN) for the last three years. The project's aim is to explore ways of how sharing information and models, automation and machine learning combined with privacy enhancing techniques can be leveraged to improve cyber defense with respect to reaction time and accuracy. In this talk we'll explore some highlights of three years worth of research to provide a glimpse behind the curtains of SAPPAN and show some possible applications and upcoming projects to watch.