Guide

17 top signals for fighting ATOs, synthetic IDs, and deepfakes

Device fingerprints, behavioral patterns, and other risk signals provide valuable clues for distinguishing good users from fraudsters. However, recognizing their value is different from knowing how to use them.

Based on our real-world implementations, we’re sharing 17 top signals for stopping account takeovers at service marketplaces, detecting synthetic identities at financial institutions, and unmasking deepfakes during identity verification.

You’ll also get signals reference charts for each fraud type, and four best practices for refining signals-based fraud strategies.

Each of the three guides for ATOs, synthetic identities, and deepfakes comes with:

The core risk signals that matter most for the specific type of attack.
Key considerations for using each signal and setting its threshold.
Visual flows showing how the signals help automate decisions.