Fraudsters are more sophisticated than ever. They’re using generative AI to scale phishing campaigns, bypass controls, and craft convincing social engineering attacks. And they only need to get it right once.

Traditional rule-based detection methods can’t keep pace. Fraud data is scattered across disconnected systems, and security teams struggle to analyze it fast enough to act.

This ebook explores how financial services companies are building a real-time fraud detection foundation — one that unifies fragmented data, surfaces actionable signals, and gives their teams the visibility they need to stop threats before they reach customers.

You’ll learn how to:

• Unify structured and unstructured fraud data across disconnected systems into a single, real-time foundation
• Detect account takeovers and identity theft earlier with anomaly detection and machine learning
• Investigate threats faster with AI-driven summaries and guided next steps
• Combat fraud across the entire lifecycle, from payments to claims to account opening
• Scale fraud defenses as data volumes and customer activity grow without adding operational complexity