Network Analytics

Data on This Page

Five detected networks, each with a name, entity count, number of hops from the root, a risk score, and the structural pattern identified — e.g. the Baltic trade corridor shell entity cluster spans 14 entities across 4 hops with a circular ownership pattern at risk score 92.

What This Agent Does

Traverses the graph of resolved entities built by Entity Resolution and Data & Ontology to surface hidden relationships and beneficial ownership chains — circular ownership, nested pass-through, shared device/address — that scoring any single entity in isolation would never reveal, the core graph-analytics capability behind the platform's Quantexa-class positioning.

Worked Examples

• The shell entity cluster in the Baltic trade corridor is the highest-risk network in this scan (risk 92), spanning 14 entities across 4 hops with circular ownership.
• The synthetic identity ring in retail onboarding links 23 entities in just 3 hops via a shared device/address pattern, scoring risk 81.
• The family office cross-holdings network scores a low risk of 24 across just 2 hops of standard beneficial ownership — correctly distinguished from illicit structures.