A machine learning framework for enhancing threat detection in core banking systems
One of the biggest issues around using machine learning (ML) for cybersecurity in commercial banking is the gap between proof-of-concept and in production. Not every model that has a high accuracy score on a benchmark dataset is the same model as one that is operating in a live transaction pipeline, subject to the mu...
Subodh Kumar Bhowmick, Bodhi Chakraborty, Hirak Mazumdar et al.
· Scientific Reports · 0 citations