Fraud today comes in many forms. In our work helping hundreds of companies fight fraud, we’ve found that the most effective ones take a holistic approach: they analyze multiple user signals, they look at population-level trends, and they actively segment their users.

If you’re interested in supercharging your fraud-fighting strategy, this asset is for you. In it, we list our top 50 signals for identifying fraud. Add them to your arsenal, fill in gaps, or just learn how fraudsters are working.

Download the guide to learn:

• How to blend active signals, passive signals, and behavioral signals to catch more fraud
• Which types of signals tend to correlate with which types of fraud
• Which signals you’re not tracking, but should be