Datanami article – Machine Learning-Based Real-Time Threat Detection for Banks
Mar 11, 2021
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 shares insights on how the right ML-based technology stack can help banks minimize risks and build a resilient enterprise.