A key component of both present and future information systems is machine learning (ML), which is already being used in a wide range of fields. Nevertheless, the application of machine learning in cybersecurity is still in its infancy, exposing a substantial gap between theory and reality.

Collaboration between teams becomes a big challenge when you have multiple feature pipelines and fragmented feature management. Data scientists, data engineers, and data analysts often work in silos with their own processes for feature creation and management.