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Case Study - dLocal
Combining identity intelligence, advanced risk detection, and merchant-specific fraud strategies, dLocal strengthens its defenses against evolving payment threats.
Financial institutions often treat identity as a fraud problem, but the bigger challenge is customer recognition. Better decisions come from understanding the person behind the interaction, not just the event.
In Experian’s Ask the Expert, AtData’s Brian Cardona explains why stronger identity intelligence leads to better lending decisions.
Financial institutions are shifting from transaction processing to identity-driven intelligence, connecting signals and customer context to make better decisions.
Future Branches Report
How banks and credit unions are rebuilding identity verification at onboarding.
Every false positive influence who stays and who leaves, gradually eroding portfolio quality while fraudsters keep trying.
The strongest fraud teams fuel growth by recognizing legitimate customers earlier, turning trust decisions into revenue opportunities.
Every payment reflects a customer story. Identity context helps distinguish risk from intent, enabling smarter, more confident decisions.
We don't trust people because they exist; we trust them because we recognize them. Digital identity is no different.
A way to recognize the machinery behind fraudulent identities as fraud itself is becoming less random and more engineered.