Cyber-crimes are not only becoming more frequent, but also more difficult to detect and more complicated to prevent. Financial institutions like banks that run hundreds of sensitive customer-facing applications are at extremely high risk. In this article, Punit Shah, Director of Engineering, Impetus Streamanalytix (now known as Gathr) shares insights on how the right ML-based technology stack can help banks minimize risks and build a resilient enterprise.
To learn more, read https://www.datanami.com/2021/03/11/machine-learning-based-real-time-threat-detection-for-banks/