Segment Challenges
PSPs and PayFacs process millions of transactions daily against fraud patterns that continuously evolve - outpacing rules-based detection models that require manual tuning to stay current.
Merchant risk does not end at onboarding. PSPs and PayFacs must monitor merchant behaviour continuously - across transaction patterns, chargeback rates, and payout activity - throughout the full merchant lifecycle.
Overly aggressive fraud controls generate false positives that decline legitimate transactions - directly impacting approval rates, merchant satisfaction, and revenue for PSPs and PayFacs operating on thin margins.
Fraud scoring, merchant risk management, device intelligence, and investigation tools typically operate as separate systems - creating integration overhead, data gaps, and operational inefficiency across risk teams. As payment scheme fraud liability requirements and PCI DSS v4.0 obligations raise the bar for risk infrastructure, fragmented tooling creates increasing exposure.
When fraud alerts require manual triage and context gathering before investigation can begin, response times extend - allowing fraud to continue while analysts work to assemble the picture needed to act.
Why Legacy Fails
Point-in-time transaction scoring cannot see coordinated fraud networks operating across merchants, devices, and accounts. Organised fraud rings deliberately structure activity to stay below individual transaction thresholds - invisible to event-level models.
Merchant risk management and transaction fraud tools operate in separate systems with separate teams - preventing the cross-domain analysis that reveals when merchant-level risk patterns connect to individual transaction fraud.
Device intelligence, behavioural signals, transaction data, and merchant attributes are rarely connected into a shared intelligence layer - leaving cross-signal patterns that indicate coordinated fraud undetected across the stack.
As transaction volumes grow, alert volumes grow proportionally - and traditional stacks respond by adding analyst headcount rather than improving the intelligence that would reduce alert noise and accelerate investigation.
How Verafye Fits
Verafye connects merchant, transaction, device, and behavioural signals into a single intelligence layer - delivering graph-based detection and investigation-centric workflows that cover the full merchant lifecycle without adding operational overhead.
Verafye unifies merchant risk signals, transaction data, device intelligence, and behavioural patterns into one connected layer - enabling cross-domain detection that individual point solutions cannot provide.
A graph-native intelligence layer connects entities across merchants, devices, accounts, and transactions - surfacing coordinated fraud rings, card testing networks, and synthetic merchant schemes that transaction-level scoring misses.
See Graph IntelligenceFraud alerts are clustered and enriched with relationship context before reaching the analyst - reducing manual context gathering, accelerating triage, and enabling faster, higher-confidence decisions across the risk operations team.
See Investigation IntelligenceVerafye supports merchant risk management across the full lifecycle - from onboarding and KYB through ongoing transaction monitoring to payout risk assessment - providing continuous connected intelligence aligned with evolving regulatory expectations, including the fraud prevention and documentation requirements that payment scheme rules and PCI DSS v4.0 increasingly demand.
Relevant Capabilities
Connect signals across merchants, devices, accounts, and transactions to surface coordinated fraud networks that transaction-level scoring cannot detect.
Explore Graph IntelligenceCluster related alerts and deliver pre-assembled case context - enabling faster triage and higher-confidence decisions across payment fraud and merchant risk operations.
Explore Investigation IntelligenceMonitor merchant behaviour continuously across the full lifecycle - from onboarding through transaction monitoring to payout risk - with connected intelligence rather than isolated checks.
See Transaction MonitoringAnalyse transaction patterns and behavioural signals at scale - identifying anomalies, velocity patterns, and cross-account behaviours that indicate coordinated or emerging fraud schemes.
See Transaction MonitoringDetect card testing rings, synthetic merchant schemes, and coordinated chargeback fraud by connecting signals across entities, devices, and payment rails into a unified network view.
Explore Graph IntelligenceUnify signals from fraud scoring, device intelligence, transaction monitoring, and merchant risk tools into a single intelligence layer - eliminating the blind spots that form at system boundaries.
View PlatformBusiness Impact
Graph-native detection surfaces coordinated fraud networks, card testing rings, and synthetic merchant schemes that transaction-level models miss - improving detection coverage without increasing false positive rates.
Smarter risk scoring grounded in network context and cross-system signals reduces false positive rates - improving approval rates, protecting merchant revenue, and reducing friction for legitimate customers.
Pre-assembled case context and alert clustering reduce the time from fraud alert to analyst decision - enabling faster account action, dispute resolution, and merchant intervention across the risk operations team.
Connected intelligence and structured investigation workflows reduce the manual effort per case - enabling risk operations teams to manage growing transaction volumes without proportional growth in analyst headcount.
Continuous merchant monitoring connected to transaction and network intelligence gives PSPs and PayFacs a complete, real-time picture of merchant risk - enabling proactive intervention before exposure escalates.
Talk to our team about scaling payment risk operations with graph-native fraud and network detection - built for payment platforms and aligned with evolving regulatory expectations.
Payment platforms are upgrading risk infrastructure ahead of PCI DSS v4.0 deadlines and expanding fraud liability obligations. Verafye is built to support that transition.
No commitment required. Speak directly with our solutions team.
