[Information] What is an Effective Machine Learning and Visualization Solution?

Risk management for fraudulent use that financial institutions should address now! Explaining ATM fraud as a use case!

The environment surrounding the financial industry has dramatically changed in recent years due to the digitalization of transactions through FinTech and the spread of cashless payments. To enhance the convenience of new services, the verification of identity, which is crucial for security, tends to be designed with a focus on usability. Criminal organizations that have taken notice of this have accelerated cyberattacks targeting financial institutions. Recently, the technical advancements in IT have led to more sophisticated methods of threats, and there has been an increase in new types of crimes. This document explains how financial institutions should consider risk management in this situation and what specific measures they should take. Please take a moment to read it. [Contents] ■ Rapid and flexible responses to increasingly sophisticated new types of attacks are essential ■ Building and utilizing predictive models for machine learning without coding ■ Real-time and visual understanding of ATM fraud *For more details, please refer to the PDF document or feel free to contact us.

Software (middle, driver, security, etc.)Other embedded systems (software and hardware)Other security