Identity Graph

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.