Incode describes TrustGraph as a biometric-anchored, privacy-preserving trust network that returns signals across participating institutions without pooling or exposing customer data.
How privacy-preserving fraud detection works inside TrustGraph ↗ · repeat of an earlier article
What happened
- Incode states that in its early access program, institutions using TrustGraph detected up to 53% more fraud than with their existing models alone.
- Incode states that it acquired Identiq in June 2026.
- TrustGraph runs on secure multi-party computation to match de-identified signals across institutions without a central repository.
Why it matters to Signicat
- Incode is building a cross-institution fraud network that competes with Signicat's risk and AML screening and document IDV offerings in banking onboarding.
- Incode's claim that customer data stays with the institution is a vendor claim on privacy; uncorroborated, and relevant to Signicat's data-sovereignty messaging.
Evidence from the source (5 quotes)
- “In Incode's early access program, institutions using TrustGraph detected up to 53% more fraud than with their existing models alone.” source ↗
- “Incode acquired Identiq in June 2026.” source ↗
- “TrustGraph uses privacy-preserving cryptography to match signals across participating institutions without a central repository.” source ↗
- “TrustGraph adds the context that single-session verification cannot provide” source ↗
- “Critically, customer data stays with the institution that holds it.” source ↗
Fraud deepfake injectionAML KYB screeningData sovereignty privacyOrchestration platformProduct launchM&AThought leadershipGlobal
4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5