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Identity Graph maps relationships between verification sessions, linking shared devices, documents, phone numbers, email addresses, and facial biometrics into a network graph. Use it to uncover fraud rings, detect synthetic identities, and identify repeat offenders.

Overview

Every verification session generates identity data points — device fingerprints, phone numbers, email addresses, facial embeddings, and document numbers. Identity Graph connects sessions that share any of these data points, building a network of linked identities over time. Verilock detects the following relationship types between sessions:

Cluster Detection

When multiple sessions share links, they form clusters. Verilock automatically identifies clusters and assigns a risk level: Clusters with mixed link types (e.g., same device AND same face with different documents) receive elevated risk scores.

Dashboard Visualization

Access Identity Graph from Dashboard > Intelligence > Identity Graph:
  • Graph view — interactive node-and-edge visualization showing connections between sessions
  • Cluster list — all detected clusters sorted by risk level and size
  • Session drilldown — click any node to view the full session detail
  • Link filtering — filter by link type to focus on specific relationship patterns
  • Time range — narrow the graph to sessions within a date range

API: Get Identity Graph

Retrieve the identity graph for a specific session:

Response Fields

List Clusters

Retrieve all detected clusters:
Identity Graph data requires at least two sessions with shared data points. Single isolated sessions will not appear in the graph.
Set up orchestration rules to automatically flag or decline sessions that belong to high-risk clusters with 8 or more linked identities.