Identity Graph

Overview

An identity graph links identifiers (emails, phones, devices, cookies, addresses, government IDs) to a unique person across channels and time. In compliance and fraud, it powers duplicate detection, householding, and detection of multi-accounting or mule networks. Nodes represent people or entities; edges capture relationships (shared device, address, funding account).

Graph-based features degree, centrality, community feed risk models and casework. Enrichment brings in registry checks, sanctions hits, and geolocation to contextualize connections. Governance is critical: define permissible purposes, minimize PII, and log lineage. With a resilient identity graph, institutions reduce false positives, spot coordinated abuse, and tailor due diligence by network exposure, not only by individual records.

Stay ahead of risk with Signzy

Explore tools that help you onboard, monitor, and verify with confidence

Database Verification

Instantly verify user information by connecting to trusted databases across jurisdictions for accurate, compliant, and faster onboarding.

Transaction Monitoring

Monitor transactions in real-time and analyse past behaviour to identify suspicious activities and ensure regulatory compliance across the user journey.

AML Screening

Screen users against Politically Exposed Persons (PEP), watchlists, sanctions lists, adverse media, and more through one-time screening and advanced monitoring.