The companies that defraud you looked clean at onboarding — because entity fraud lives in the network around the entity, not the entity itself. Verety traverses and monitors the graph around every counterparty, so organized fraud surfaces before the first loss, not after the write-off.
Bust-out schemes, synthetic companies, and shell networks are designed to pass entity-level checks. A typical fraud scheme runs about twelve months before detection, and fraud drains an estimated 5% of revenue annually (ACFE, Occupational Fraud 2024). Losses are recognized only after the write-off.
Entities build clean credit and transaction history, then extract maximum value and collapse. Individually each entity looks healthy — the pattern only exists across the ring.
Dozens of companies sharing directors, addresses, registrars, hosting infrastructure, and formation dates. Rule-based matching misses them; graph traversal exposes their shared DNA.
DOMAIN → IP CLUSTER → REGISTRAR → CO-REGISTERED SHELLS
Entities that were genuinely clean at onboarding and turned bad afterward. Point-in-time KYB is structurally blind to them — only continuous monitoring catches the turn.
Federal analysis of organized fraud groups points to three data-detectable indicators: scale, connections, and outliers. Verety's autonomous agents are built around exactly those markers.
We run a scoped pilot on a sample of your counterparties and show you the rings you can't currently see.