Identity theft has become easier to execute and harder to detect. Generative AI has given fraudsters the ability to produce convincing credentials at scale. Impersonation via manipulated documents and fabricated personas can pass traditional verification checks without triggering any concerns.
Combine Data Signals & AI to Make the Best Possible Decision
Effective identity theft prevention starts with data that is orchestrated intelligently. Banks need the agility to plug signals in and out quickly, and waterfall logic ensures expensive checks are only triggered when earlier signals haven’t already determined the outcome.
Feedzai fuses these end-to-end decisions into a single continuous risk profile, surfacing identity theft early, keeping low-risk journeys frictionless, and stepping up higher-risk applications through the right checks at the right time. This gives banks more confidence at the front door.
Stopping identity theft isn’t a single capability. It’s a maturity curve that financial institutions progress along as their detection, data, and decisioning capabilities are fused.
- Good: Detect identity theft at onboarding with behavioral biometric and device anomaly detection, catching fraudsters before they take over a profile.
- Great: Enhance visibility over identity signals with external data enrichment via a data orchestration solution, seeing beyond what’s visible at onboarding.
- Best in Class: Make confident decisions by bringing every signal together into one risk profile, powered by data decisioning and case management for streamlined investigations.
See How Feedzai Stops Identity Theft in Real Time.
