Explore Cases Financial Services Fraud Detection

Détection de la fraude

Overnight Bust-Out: Synthetic Identity Ring

Each account looks healthy on its own: months of on-time payments, ordinary purchases and nothing that trips a major rule. The pattern appears only when accounts are compared. Shared devices, addresses, phone numbers and application behavior can reveal a synthetic-identity ring preparing for a coordinated bust-out.

Capabilities

Behavioral Analysis Endpoint & Network Telemetry Entity Resolution Financial Transactions Live Monitoring & Alerting Network & Link Analysis Predictive Modeling Public & Government Records Regulatory & Compliance Filing

Overview

Synthetic identity fraud is designed to survive account-by-account review. A manufactured identity can be cultivated over months, building a clean payment history before credit is drawn down quickly. Individual alerts may remain low-signal even when several accounts are being prepared by the same operation.

CoAnalyst360 lets fraud teams compare those accounts as a network. Shared device, login, address and application signals can surface clusters; identity evidence can help distinguish synthetic profiles from stolen identities; and account history can show whether the cluster follows a cultivation pattern. Risk modeling can then help teams prioritize review and choose containment steps, with a human reviewer responsible for the decision.

Synthetic Ring Monitor
Synthetic Ring Monitor — Live Alerts
Synthetic Ring Monitor — Ring Cluster
Synthetic Ring Monitor — Bust-Out Forecast
Synthetic Ring Monitor — Response Status

Key features

  • Alert-queue triage Correlate a queue of individually low-signal alerts by merchant category, transaction velocity and account vintage, separating coordinated activity from background noise.
  • Shared-infrastructure link analysis Link accounts on device fingerprints, login telemetry, mailing addresses and application phone numbers to surface a cluster that account-level review cannot see.
  • Identity validation Test identities against issuance-era records to distinguish a manufactured identity from a real person whose details were stolen — a different crime with a different response.
  • Behavioral credit-file analysis Read tradeline and payment behavior across the life of each account to recognize the long cultivation pattern that precedes a coordinated bust-out.
  • Bust-out risk modeling Model draw probability across open accounts over a forward window, with the contributing factors shown, so containment can be timed and resourced instead of triggered by the loss itself.
  • Coordinated containment and filing Stage portfolio-wide holds, category blocks and monitored draw-downs for authorized approval, and compile the regulatory filing package with the link matrix and model output attached.

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Illustrative scenario. The incidents, investigations, individuals, organizations, communications, identifiers, and investigative findings depicted here are fictional and created for demonstration purposes. Real-world locations, geographic features, public infrastructure, and other contextual references may be used to make the scenario realistic. Their inclusion does not indicate that the events shown actually occurred or that any real person or organization was involved.