Fraud Prevention Solutions for Financial Services

From Fragmented Signals to Connected-Risk Intelligence.

Verafye connects transactions, entities, devices, behavioural signals, screening results, rules and existing alerts into evidence-backed intelligence for detection, investigation and decisioning - whether institutions start with Verafye's broader risk capabilities or alongside controls they already use.

Native or External SignalResolve & CorrelateConnected-Risk IntelligenceInvestigate & Decide
Investigation-ready cases in < 3 weeks · using your existing data

How a Risk Shadowing Review works

You share a defined window of your existing alerts and payment data.

Verafye maps connected risk across merchants, accounts, devices, and beneficiaries.

You receive an investigation-ready evidence pack with linked cases and analyst review steps.

Connected SignalsAlert ClusteringGraph IntelligenceCase Intelligence
VerafyeInvestigationCASE-0142
LIVE
Alert Cluster
3 Alerts · HIGH
TXN-48219Velocity Fraud PatternHIGHFraud
ACC-22910Shared Device NetworkHIGHAML
PAY-00331Unusual Payment RouteMEDIUMPayments
4 entities linked
FraudAMLPayments
Case IntelligenceACTIVE
CASE-0142 · Investigation
Stage 2 of 4 · In Progress
3
Entities
7
Signals
2
Linked
Signal Sources
Fraud
AML
Payments
Identity
Device
Behavior
6 signal types connected
Audit TrailCASE-0142
09:14Case opened · Cluster of 3 alerts ingested
09:15Entity enrichment complete · 4 entities resolved
09:16Graph intelligence built · Network of 7 nodes
09:18Decision logged · Case escalated for SAR review
Support more efficient investigation
Connect related alerts into cases
Surface relevant connected relationships and network context
Maintain audit-ready decisions

Designed for security-conscious regulated environments

Verafye is built for regulated financial platforms where security, privacy, auditability, and operational control matter from day one.

ISO/IEC 27001:2022 certified
AICPA SOC 2 Type I
PCI DSS SAQ-D compliant
GDPR compliant

Verafye holds ISO/IEC 27001:2022, SOC 2 Type I, and PCI DSS SAQ-D, and maintains GDPR-compliant and DPDP-aware data practices. Certificates are available on request.

WHY VERAFYE

Detection that does not stop at alerts

Verafye can originate risk signals through native detection or begin with suspicion generated by existing controls. However suspicion originates, Verafye turns it into Connected-Risk Intelligence — clustering related signals into investigation-ready cases and producing explainable, audit-ready decision records.

Built around investigations

Verafye turns fragmented fraud, AML, payment, identity, device, and behavior signals into connected case context.

Network-connected by design

Surface relationships across users, accounts, merchants, devices, transactions, and counterparties — exposing the network structure around each alert.

Designed for lean teams

Designed to reduce manual context assembly and support more efficient, evidence-backed investigation — without months of configuration or enterprise-heavy operational overhead.

SIGNAL ORIGINATION

Two ways in. One connected-risk outcome.

However suspicion originates, Verafye turns it into a connected, evidence-backed risk picture.

Path 1 — Native Detection

Start with raw activity

Raw transactions, accounts, device and behavioural events feed Verafye's configurable rules, risk logic, and detection models — generating risk signals natively.

TransactionsAccount ActivityDevice & SessionBehavioural EventsPayment & Channel Activity

Path 2 — External Suspicion

Start with existing controls

Alerts and suspicions from fraud, AML, KYC, screening, device-risk or payment-risk systems feed directly in. Verafye picks up where your existing controls leave off.

Fraud AlertsAML AlertsKYC SignalsScreening SignalsDevice-Risk SignalsPayment-Risk Alerts

Converge into

Connected-Risk Intelligence

Both paths feed the same entity-resolution, network-intelligence and investigation architecture — producing case-ready, audit-ready outcomes regardless of entry point.

Entity ResolutionSignal CorrelationNetwork IntelligenceAlert ClusteringInvestigation & EvidenceDecision & Audit Support

PLATFORM CAPABILITIES

Eight capability domains. One connected platform.

Customer Risk Intelligence
AML & Transaction Monitoring
Fraud Prevention
Screening
Investigation Intelligence
Decision Intelligence
AI Copilot
Enterprise Platform
Explore all capabilities

BEFORE VERAFYE / AFTER VERAFYE

What changes when your alerts become investigations

Before Verafye

Fragmented alerts across fraud, AML, and payments tools - no shared context

Analysts manually piecing together cases from disconnected systems

Connected mule and relationship patterns may be difficult to reconstruct when signals are reviewed independently

No structured case trail - decisions are hard to explain or audit

High alert volumes, slow triage, and stretched lean risk teams

After Verafye

Fraud, AML, payment, identity, device, and behavior signals resolved into investigation-ready cases and evidence

Analysts start with structured case context, summaries, and suggested next steps

Graph intelligence surfaces relevant connected relationships and network context across accounts, devices, and counterparties

Every decision is documented with audit logs, notes, and case evidence trails

Alert clustering is designed to reduce manual context assembly and help teams focus on related activity within one investigation

HOW VERAFYE WORKS

From fragmented alerts to explainable investigations

1

Originate or Ingest Risk Signals

Start with raw transaction, account, device and behavioural events for Verafye-native detection — or ingest alerts and suspicions from existing fraud, AML, KYC, screening and risk systems.

2

Resolve Entities & Relationships

Users, accounts, devices, merchants, and counterparties are resolved and linked across sources.

3

Detect Connected Risk

Network-level analysis surfaces linked entities, mule patterns, and coordinated risk that alert-level tools do not surface on their own.

4

Cluster into Cases

Related alerts and detected activity across fraud, AML, and payments are grouped into connected, investigation-ready cases.

5

Prioritize Investigations

Analysts start with risk-scored cases, structured context, and suggested next steps - not raw alert queues.

6

Decide & Document

Every action is logged with audit trails, evidence, and case notes - producing explainable, audit-ready decision records.

Explore the Platform

IN PRODUCTION

Connected-Risk Intelligence operating in a regulated money-movement environment

Verafye has live commercial production experience in regulated money movement, alongside additional product and evaluation experience across payment and financial-risk environments.

Remit247PayrockBlackStripe

What regulated teams say about Verafye.

“We stopped assembling investigation context from separate tools and started from structured, connected cases.”

INVESTIGATION INTELLIGENCE

Agents compensate for fragmented data.
We fix the fragmentation.

Layering AI agents over disconnected systems doesn't solve the underlying problem — it works around it. Verafye resolves the fragmentation itself: connecting signals, resolving entities, and surfacing investigation-ready context from your existing data. No workarounds. No orchestration overhead.

Built, not bolted.

Intelligence is embedded into the platform architecture - not added afterwards as an assistant or orchestration layer.

Correlated, not compiled.

Alert signals from across your ecosystem are automatically correlated into investigation-ready case context - so analysts start with a structured picture, not a stack of disconnected alerts.

Automated, not autonomous.

Investigation workflows are automated through architecture and embedded intelligence - with human review and validation at every decision point.

Every automated step produces explainable, audit-ready evidence. Verafye is designed for human review at every decision point - not autonomous filing.

RISK TEAM WORKFLOWS

Common investigation challenges Verafye addresses

Our analysts were spending more time pulling together context than actually investigating. Having alerts, entity relationships, and case history in one place changed the way the team works.

Investigation Team

Digital Bank

The graph view made it immediately obvious that what looked like three separate cases was actually one mule network. That kind of visibility used to take days of manual digging.

Compliance Team

Payment Services Provider

We run a lean risk team. What Verafye gives us is the ability to handle investigation volumes we couldn't have managed with the same headcount before.

Risk Operations

MSB - Cross border Services

Observed deployment outcomes

60%

Reduction in investigation preparation time

Deployment result: connected entity context and alert clustering eliminate manual pre-investigation data gathering.

4×

More connected signals per case

Graph clustering surfaces significantly more related signals per investigation than manual, siloed alert review.

<3 wks

To first evidence pack

Time from agreed data scope to a structured, investigation-ready evidence pack via Risk Shadowing Review.

Outcomes observed across connected-risk investigation deployments. Scope and results vary by data configuration.

THE INVESTIGATION PROBLEM

Your alerts are firing.
Your cases aren't closing.

Fraud, AML, payment, identity, and device signals sit in separate systems. Your investigators see alerts — not the connected network behind them.

Hundreds of alerts. No network picture.

Fraud and AML systems fire independently. Investigators work each alert in isolation — no merchant linkage, no beneficiary chain, no device cluster. The same coordinated ring gets reviewed as six separate cases.

The evidence exists. Finding it takes days.

Transaction logs, onboarding records, device fingerprints, prior SARs — all there, all in separate systems. Getting them into a single investigation view means pulling from five tools by hand. Cases that should close in hours take weeks.

Fragmented data gives fragmented answers to examiners.

When regulators ask for a connected evidence trail — who flagged what, when, and why a case escalated or closed — disconnected systems produce disconnected responses. SAR quality gaps and missing escalation rationale become repeat exam findings.

Verafye connects those signals into investigation-ready cases - starting with selected data feeds from your existing systems and expanding into Verafye-led workflows as outcomes are proven.

WHO WE SERVE

Where Verafye Fits

Verafye helps teams connect fragmented fraud, AML, payment, identity, device, merchant, account, wallet, ledger, beneficiary, and case signals across regulated and payment-led environments.

View Who We Serve

THE NETWORK RISK INTELLIGENCE PLATFORM FOR LEAN RISK TEAMS

Detect. Connect. Investigate. Decide.

Signal Inputs

Fraud Alerts
AML Alerts
Payment Events
Identity & KYC
Device & Behavior
External Enrichment

Verafye

Network Risk Intelligence

Connected · Detection-capable · Audit-ready

Connected Signals
Alert Clustering
Graph Intelligence
Case Intelligence
Audit-Ready Decisions

Analyst Outcomes

Faster Investigation Cycles
Less Noise per Analyst
Hidden Network Visibility
Compliance-Ready Audit Trails
Lean Team Scalability
Explore All Capabilities

REGULATORY CONFIDENCE

Explainable investigations for regulated environments

Verafye helps fraud, AML, compliance, and risk teams maintain investigation context, decision history, audit logs, and case evidence across fragmented systems - supporting investigation workflows aligned to expectations from FINTRAC (Canada), FCA (UK), FinCEN (US), and RBI (India).

Verafye is designed to support investigation workflows aligned to evolving regulatory expectations. We do not claim regulator certification, approval, endorsement, or formal compliance with specific regulatory regimes unless separately documented.

Security & Trust

See how Verafye connects your investigations

Request a Risk Shadowing Review and see connected network risk across your existing alerts. You receive an investigation-ready evidence pack with linked case clusters, risk indicators, and analyst review steps.

Explore Risk Shadowing ReviewExplore Platform

API-connected to selected data sources. First connected-risk outputs within 1–2 weeks, subject to data readiness and integration completion.

No platform-replacement commitment required. Speak directly with our solutions team.