Not all machine learning solutions are created equal
Feb 16, 2024
Online businesses are starting to feel the major limitations of traditional fraud prevention platforms using what’s known as “checkbox” machine learning. A single algorithm, limited data set, and bi-monthly model updates still technically count as machine learning. But are they end-to-end solutions that significantly reduce manual review while driving growth? No.
Read this ebook to learn:
- Which capabilities and features you should be looking for in a true machine learning-based fraud prevention solution, including speed, scalability, and sophistication
- The major limitations of “checkbox” machine learning solutions, how to spot them, and why they’re bad for business
- Why a Digital Trust & Safety approach, backed by world-class machine learning, is the only way to proactively stop fraud, delight customers, and fuel growth
The unmatched value of real-time fraud prevention and global data
The right fraud prevention solution can be the difference between a thriving business and a company that crumbles under the weight of fraud. This ebook digs deep into what world-class machine learning is capable of and why it’s the most accurate way to stop fraud before it happens.