Given the prolific and ever-changing nature of online fraud, fraud prevention systems that rely heavily or solely on human input will not be as effective at fighting fraudsters who are using vast networks and automation to commit fraud.
Machine learning allows businesses to automate the fraud prevention process and optimize workflows. Companies need a fraud prevention system that can keep up with fraudsters – and that means a system that uses not only machine learning but also the right data to detect and prevent fraud.
Topics covered in this Machine Learning eBook:
- Types of online fraud and the challenges to fighting online fraud
- How the right data in a machine learning model can prevent fraud
- An overview of the ML models commonly used for fraud prevention
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