ThreatMetrix provides a real‑time risk‑management platform that combines device fingerprinting, behavioral analytics, and AI‑driven identity scoring to verify digital identities. The solution offers low‑latency APIs and SDKs for automated fraud decisions, along with built‑in case management, reporting, and access to a shared threat‑intelligence network for financial services, e‑commerce, insurance, and government clients.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises across finance, insurance, e‑commerce, and government struggle with fragmented identity signals, manual fraud reviews, and escalating synthetic‑identity attacks that delay onboarding and increase loss exposure.
Solution
ThreatMetrix delivers a unified risk‑management engine that fuses digital‑identity data, behavioral analytics, and AI‑driven scoring into a single, real‑time decision platform. The solution ingests device fingerprints, session telemetry, and cross‑industry identity attributes, then applies graph‑based correlation and machine‑learning models calibrated to the client’s risk appetite. Results are returned via low‑latency APIs or embedded SDKs, enabling automated approvals, step‑up authentication, or manual review workflows without disrupting the customer journey. Integrated case‑management, reporting, and orchestration tools let risk teams investigate incidents, track trends, and continuously refine models. The platform also leverages the LexisNexis Digital Identity Network, providing shared, up‑to‑date threat intelligence from a global community of fraud experts.
Target Audience
Primary customers are risk, compliance, and fraud‑prevention teams in financial services, insurance carriers, large e‑commerce platforms, and government agencies that require real‑time identity verification and automated fraud detection across digital channels.
Features
- Device fingerprinting and session‑behavior analytics that capture over 200 passive signals per interaction
- Graph‑based identity resolution engine linking email, phone, IP, and payment attributes across a cross‑industry data network
- AI/ML risk scoring models with configurable thresholds and adaptive learning to match specific fraud tolerance levels
- Real‑time decision APIs and lightweight mobile/web SDKs supporting REST, gRPC, and WebSocket protocols
- Built‑in case management console with audit trails, evidence tagging, and automated workflow routing
- Customizable reporting dashboard offering KPI visualizations, trend analysis, and regulatory compliance exports (e.g., GDPR, CCPA)
- Cloud‑native, horizontally scalable architecture with multi‑region redundancy and end‑to‑end encryption