CAPABILITIES
Purpose-built detection, investigation, and intelligence capabilities designed for modern financial crime across fraud, AML, and payments ecosystems.
CORE ENGINE
Verafye's graph intelligence engine maps relationships between accounts, devices, identities, and transactions to detect coordinated financial crime networks that rule-based systems miss entirely.
Automatically resolve and link entities across fragmented data sources into a unified identity graph
Detect hidden relationships and patterns across accounts, devices, and transaction flows
Uncover multi-hop connections between seemingly unrelated entities to reveal fraud rings
Entity Resolution · Network Analysis · Link Discovery
INVESTIGATION EFFICIENCY
Automatically group related alerts into unified investigation packages. Instead of reviewing hundreds of individual alerts, investigators see clustered cases with full context — reducing noise and surfacing genuine threats.
Alert volume reduction
Faster case resolution
DETECTION
Detect organized fraud rings, mule networks, and synthetic identity schemes by mapping the relationships between entities, devices, and transaction patterns across your entire ecosystem.
Identify coordinated groups of fraudsters operating across multiple accounts and institutions
Track money mule recruitment chains and rapid fund movement patterns through layered accounts
Uncover fabricated identities combining real and fictitious information to establish fraudulent accounts
CROSS-SYSTEM
Break down the silos between fraud and AML monitoring. Verafye unifies signals from fraud detection, AML screening, and payments monitoring into a single intelligence layer — enabling cross-system correlation that catches threats any single system would miss.
Connect fraud, AML, and payments signals into unified risk intelligence
Detect threats that exist at the intersection of fraud and AML activity
INTELLIGENCE LAYER
Track device fingerprints, session patterns, and behavioral signals across your transaction network. Detect anomalies at network scale and correlate device-sharing patterns to uncover coordinated fraud operations.
Track and analyze device patterns across transaction networks
Establish and monitor normal patterns to detect anomalies
Analyze session behavior patterns across user journeys
Correlate device and behavior signals across the network
WORKFLOW
Empower investigation teams with intelligent tools that surface insights, prioritize high-risk cases, and streamline workflows from detection to resolution.
ML-driven case scoring ensures investigators focus on highest-risk cases first, reducing time wasted on false positives and low-priority alerts.
Automatically link related entities and evidence across investigations, building comprehensive case files with full network context.
Streamline workflows from alert generation through investigation to resolution with automated routing, assignment, and escalation.
Every AI-driven decision comes with transparent reasoning and full audit trails, supporting regulatory compliance and examiner review.
OVERVIEW
Entity resolution and network analysis
Group related alerts into unified cases
Identify coordinated mule networks
Uncover fabricated identity fraud
Track device patterns across networks
Detect anomalous behavior at scale
ML-driven risk scoring for investigations
Transparent decisions with full audit trails
Get Started
Schedule a personalized demo to see how Verafye's graph-native intelligence detects financial crime networks and reduces investigation workload.
