Applied Research with ML in Cybersecurity

This project originally revolved around former CTO Paul Lewis’ work looking at anomaly detection in large datasets to provide protection against Application-layer DDoS attacks by employing machine-learning techniques.

The project has since evolved to focus on creating a framework for testing algorithms against client and industry-defined security problems involving data.  This is an essential capability for building machine learning applications and will help Crossword to develop Nixer CyberML family products, completely new products in the CyberAI family and services leveraging ML.