Incode publishes a case study describing FanDuel's US state and Canada registration identity verification using Identity Verification, GovMatch, Risk AI Agent and collective intelligence.
Cómo FanDuel bloquea el fraude sin rechazar a clientes reales ↗
What happened
- The article reports, as a vendor-presented outcome, about 46% fewer genuine customers wrongly blocked at registration with no fraud increase.
- The article states that in a federal case, about 3,000 stolen identities were used to defraud FanDuel and other operators of about $3 million.
Why it matters to Signicat
- Signicat's regulated-gaming onboarding and IDV positioning faces a named-operator case study in US and Canadian betting; the article's direct overlap with Signicat's core European markets is not evident.
- The 46% and 1% outcome figures are unverified vendor-reported results without stated methodology and should be attributed to Incode.
Evidence from the source (4 quotes)
- “Cerca de 46% menos clientes bloqueados por error en el registro, sin aumento del fraude, y alrededor de 1% más clientes genuinos aprobados en flujos de alto volumen.” source ↗
- “En un caso federal, dos personas usaron cerca de 3,000 identidades robadas para defraudar a FanDuel y a otros operadores por alrededor de $3 millones.” source ↗
- “Ese es el papel que Incode desempeña en cada estado de EE. UU. y en Canadá.” source ↗
- “Cerca de 46% menos clientes bloqueados por error en el registro” source ↗
Document IDV biometricsFraud deepfake injectionOrchestration platformCase studyGlobal
3 of 3 facts verified against the source · confidence medium · claude-haiku-5-5