With total fraud losses reaching $56 billion and over half of organizations recovering less than 25% of what they lose, traditional rules-based detection methods can no longer keep pace with increasingly sophisticated attackers. This eBook makes the case for AI as the essential foundation of modern fraud prevention and explains how leading digital businesses are applying it in practice.

What you'll find inside:

• Why manual and rules-only fraud detection fails against fast-evolving, multi-dimensional attack patterns

• How the most effective strategies combine supervised and unsupervised machine learning with traditional rules

• Industry data showing AI adoption for fraud prevention is expected to grow over 50%, with financial services and tech leading the way