Incode pitches TrustGraph privacy-preserving network fraud detection for agentic AI
Why network fraud detection matters in the age of agentic AI ↗ · repeat of an earlier article
What happened
- Incode presents TrustGraph as a privacy-preserving trust network that matches de-identified signals across participating institutions.
- TrustGraph uses SMPC to match signals across institutions without pooling customer records, according to Incode.
- Incode states that in its Early Access Program TrustGraph detected up to 53% more fraud than existing models alone at the best-performing institution.
- Incode states AI-driven fraud was 3% of fraud attempts in 2024 and 40% in Q1 2026, and projects 61% by end of 2026.
Why it matters to Signicat
- A cross-institution SMPC fraud network sold to banks and marketplaces would compete with Signicat's risk and fraud screening.
- The 53% figure is a vendor early-access claim without published methodology and is not independently verified.
Evidence from the source (6 quotes)
- “TrustGraph, Incode’s answer to fraud silos, is the first biometric-anchored, privacy-preserving trust network built for the agentic era.” source ↗
- “TrustGraph matches signals across institutions using secure multi-party computation (SMPC).” source ↗
- “In Incode's Early Access Program, TrustGraph detected up to 53% more fraud than existing models alone at the best-performing institution.” source ↗
- “AI-driven fraud accounted for 3% of fraud attempts in 2024 and 40% in the first quarter of 2026. Incode projects that figure will reach 61% by the end of 2026.” source ↗
- “TrustGraph, Incode’s answer to fraud silos, is the first biometric-anchored, privacy-preserving trust network built for the agentic era.” source ↗
- “In Incode's Early Access Program, TrustGraph detected up to 53% more fraud than existing models alone at the best-performing institution.” source ↗
Fraud deepfake injectionData sovereignty privacyAgentic AI identityReusable identity VCProduct launchThought leadershipGlobal
4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5