Understanding Data Drift: Protecting ML in Banking
At VALID, we take pride in providing consistent results for our clients and partners. Our machine learning models are a crucial component to generating those results. One of the..
Defending Trust: Innovations in First-Party Fraud Prevention
Did you know First-party fraud is a growing $100 billion problem?
Key Fraud Fintech Trends of 2024
Key Fraud Fintech Trends of 2024 Industry Insights and Prediction by VALID Systems In 2024, the fintech landscape witnessed a surge of opportunities propelled by advancements in..
Overdraft Innovation: Small Loans for Financial Inclusion
Overdraft Innovation: Small Dollar Loans For Financial Inclusivity Did you know ~20-25% of the checking accounts overdrafts? The financial industry is witnessing a transformation..
Addressing the Surge in Check Fraud
As financial transactions undergo a transformative shift with the rise of emerging technologies, the assumption that traditional checks are declining has been challenged by a..
Eliminating AI biases in Fintech & Banking
In this paper we will cover factors contributing to AI biases, best practices when engineering fair and responsible models, and VALID’s own monitoring study demonstrating model..
Behavioral Analytics for Check Fraud Detection in Banking
While traditional methods like image analysis, account status, and consortium data have been utilized for detecting fraudulent activities, behavioral analytics is emerging as a..
Check Payments: Innovate the Present to Redefine the Future
Unleashing the Power of Checks in the Modern Era of Digital Payments The Growing Market of Non-cash Payments