Gathr
Case Studies
Real-time Insider Threat Detection using Machine Learning
Overview
Real-time Insider Threat Detection using Machine LearningGathr |
Analytics & Modeling - Machine Learning Analytics & Modeling - Real Time Analytics | |
Finance & Insurance | |
Cybersecurity Fraud Detection | |
Data Science Services | |
Operational Impact
The bank went from processing data from 15-20% of applications to 80-90% of critical applications, processing 85M records per day. | |
Realized a dramatic cost reduction compared to their traditional RDBMS stack. | |
The data throughput went up to 98,000 events per second, four times the speed enabled by the previous technology stack. | |
Quantitative Benefit
5x expansion in scope | |
10x cost reduction | |
4x boost in performance | |