Incode Adds Peer-to-Peer Cryptography to TrustGraph Fraud Network

In this article, ID Tech reports on how Incode TrustGraph uses peer-to-peer cryptography to help institutions fight fraud together. Each institution turns its customer identifiers into protected values inside its own environment. A secure computation method then compares those values across the network and returns only a risk or trust signal with a reason code. Institutions asking for signals and those providing them stay hidden from each other, and each one keeps its own decision rules. The article also notes that TrustGraph builds on technology from Identiq, which Incode acquired in June 2026, and that support for AI agents joining the network is planned for the future.

Read the transcription of this article, published by ID Tech on October 14, 2026.

Incode has introduced a peer-to-peer cryptographic architecture for its TrustGraph fraud network, enabling institutions to compare fraud and trust information without pooling customer records. The company says the best-performing institution in its early-access program detected up to 53 percent more fraud than its existing models alone.

The network links information to verified biometric identities so that repeat attempts can be recognized even when an applicant changes a name, document or device. It also returns positive trust information about customers successfully verified elsewhere, rather than operating solely as a shared fraud list.

Customer identifiers are transformed into protected values within the originating institution’s environment. Secure multi-party computation then compares fresh cryptographic shares across participants, returning a risk or trust result and a reason code without exposing another institution’s underlying records.

Incode says the architecture conceals both the requesting institution and the organizations contributing information. Contributing institutions do not see the outcome of a query. Each customer retains its own rules for approving, reviewing, requesting additional verification or rejecting a transaction.

The announcement follows Incode’s acquisition of Identiq in June. That deal brought privacy-preserving identity resolution into its platform, with cryptographic comparisons intended to let organizations identify matching activity without sharing names, document numbers, biometrics or other raw identifiers.

TrustGraph is available within Incode’s platform alongside onboarding and authentication workflows. Its current fraud intelligence can connect suspicious activity across institutions and group related applications within an institution. Shared devices, document details and near-identical addresses can connect applications that investigators would otherwise assess separately. The company is also designing native participation for AI agents acting on behalf of verified customers, which remains on its product roadmap.

“Fraud is networked. Defenses are still siloed,” said Ricardo Amper, Incode’s founder and chief executive. He said attackers benefit from operating across institutions because each institution typically sees only its own interactions.

Interac, Canada’s payments and identity network connecting nearly 300 financial institutions, has chosen Incode. “If Company A experiences an attack and the same actor later targets Company B, Company B doesn’t have to face that attack as if it were the first time,” said Navjeet Grewal, Interac’s managing director for verification and digital credentials.

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For over two decades, FindBiometrics has covered revolutionary advances in biometric tech. But today, identity technology is about much more than biometrics, encompassing everything from digital credentials to decentralized server architecture to AI-powered computer vision. Under its new brand identity, ID Tech, it  continues the discussion around biometrics while bringing in important concepts and stakeholders from the broader identity industry. We are moving the conversation forward into a new era of identity technology.