Detect and block repeat attackers

Trust Graph detects duplicate, synthetic, and reused identities across sessions and organizations, without ever exposing PII.

How Trust Graph protects your business

By maximizing a collective defense to flag patterns like duplicate users, reused documents, and synthetic identities, Trust Graph delivers shared threat intelligence without exposing any PII.

Block repeat fraudsters

By connecting risk signals across a global network, Trust Graph delivers earlier detection with greater precision. That means stopping more fraud without adding friction for trusted users.

Strengthen defense with intelligence

Contribute internal signals to Trust Graph to strengthen the network and gain real-time insight into threats flagged elsewhere.

Security without compromise

Trust Graph protects user data while delivering high-impact results. All risk signals are anonymized to meet the strictest data security and privacy standards.

Trusted signals from across the network

Move beyond isolated, reactive fraud prevention. Collective risk signals work together to proactively stop threats before they become losses.

Known Fraudster Identity

Trust Graph detects when an identity, device, or document has already been confirmed as fraudulent. By recognizing repeat usage, it blocks fraudsters before they can re-enter through another customer.

First-party Fraud:

Trust Graph uncovers when legitimate users engage in fraudulent activity, such as repeated chargebacks or misuse of their accounts. These reports are shared across the network, giving clients visibility into behaviors that might otherwise go unnoticed.

Unusual Activity

Trust Graph surfaces anomalous behaviors or risk patterns that deviate from normal user activity, such as velocity spikes or inconsistent logins. These signals help highlight potential fraud even when an identity has not been previously flagged.

Frequency & Repeat Attempt

Fraudsters often reuse the same credentials, devices, or tactics across multiple attempts. Trust Graph tracks repetition and frequency, exposing suspicious patterns that single, isolated checks might miss.

Fraudsters move across organizations undetected

Incode’s technology gives you real-time, relationship-based scoring across a trusted network to stop repeat fraud before it impacts your business.

Comprehensive fraud intelligence

Trust Graph is fueled by fraud signals from biometrics, documents, behavioral patterns, and device data.

Collaborative risk sharing

Share fraud signals across a trusted network to strengthen detection and stop repeat attackers reaching your business.

Continuous monitoring

Automatically reassess sessions over time as new risk signals emerge, even after onboarding is complete.

Customizable risk rules

Define and tailor detection rules to match your unique risk sensitivity, industry, and compliance needs.