WHAT VERAFYE COVERS
Detection can originate within Verafye or arrive from existing controls. In either case, the same entity-resolution, network-intelligence and investigation architecture carries the signal forward. Verafye brings together signal ingestion, integrations, configurable workflows, alert clustering, graph intelligence, case workflows, reviewer controls, evidence packs, and audit trails — giving lean teams a practical operating workspace for fraud and AML investigations, from signal origination to case closure.
Graph-based risk detection, risk scoring, mule network detection, transaction pattern detection, entity-link analysis, and cross-account, cross-merchant, cross-device, and cross-beneficiary risk discovery - including cross-program network risk and sponsor-bank ecosystem risk patterns for BaaS and embedded finance providers.
Alert clustering, case context, analyst summaries, evidence packs, investigation workflow, case collaboration, and network visualization - including program-level case clustering, partner-risk context, and investigation-ready evidence across sponsor-bank and embedded-finance workflows.
Explainability, audit trails, escalation logic, reviewer controls, SAR/STR support where applicable, and defensible decision records - including audit-ready program-risk summaries and explainable evidence for sponsor-bank, BaaS, and fintech oversight workflows.
Applied Across
PLATFORM CAPABILITIES
Every pillar is designed to work independently or as part of a connected fraud, AML, and risk workflow — without requiring a full infrastructure replacement.
KYC/KYB onboarding, CDD and EDD workflows, UBO resolution, customer and merchant risk scoring, and ongoing monitoring — giving regulated teams a structured view of customer risk from onboarding through lifecycle.
Configurable rules, AI-assisted behavioral detection, typology-based pattern recognition, and threshold management — tuned for payment-led AML teams running cross-border and domestic transaction risk.
Payment fraud, card fraud, identity fraud, account takeover, and mule network detection — with device and behavior signal integration to surface coordinated fraud patterns across accounts and counterparties.
Sanctions, PEP, and adverse media screening across 450+ lists via OpenSanctions and curated sources — with fuzzy matching, payment screening, and orchestration to premium providers for deeper coverage.
Alert clustering, AI-assisted case context, analyst summaries, evidence packs, case workflows, reviewer controls, and regulatory reporting support — built around the investigator, not the alert queue.
Entity resolution, graph analytics, multi-signal risk scoring, consortium intelligence, and signal ingestion — connecting signals from across your ecosystem into a unified intelligence architecture that feeds every investigation.
Explainable AI, case summaries, investigation assistance, and narrative generation — embedded into the investigation workflow so analysts spend less time assembling context and more time deciding.
APIs, SDKs, workflow automation, configurable dashboards, audit trails, and flexible deployment options — connecting into existing financial crime stacks without requiring a full infrastructure replacement.
HOW IT WORKS TOGETHER
Verafye capabilities work together across detection, entity resolution, network analysis, case formation, investigation, evidence, and decisioning. Each stage feeds into the next so risk teams always have context when they need it.
Native detection from raw activity, or external suspicion from existing controls — both paths feed the same Connected-Risk Intelligence architecture
Normalize signals, link entities, cluster alerts across accounts, merchants, beneficiaries, and devices, and add graph-based relationship context
Prioritize cases, guide reviewer workflows, support explainable decisions, preserve evidence packs, and maintain audit-ready investigation records
Investigation context, clearer decisions, audit-ready records, and better operating visibility for risk teams
GET STARTED
See how Verafye helps regulated financial platforms connect alerts, carry connected context into investigation and decision support. Begin with a Risk Shadowing engagement around the capabilities your team needs - and expand as outcomes are proven.
