Ingest in real time
Transaction and user data flows in continuously through APIs and SDKs.
97% fewer false positivesReal-time risk scoringNo-code rules engine
Fraud decisions in milliseconds, not days
FraudNet scores every transaction as it happens, so your team stops fraud before losses mount. Cut fraud by up to 80% while boosting approvals by 20%.
Talk to a solutions advisor about your fraud and compliance stack.
97%reduction in false positives
80%reduction in fraud
20%boost in approval rates
Trusted by teams at
MastercardCitibankRivertyBokuNelnetAcimaArvatoBankjoy
Getting started
From raw signal to decision in one pass
A clear path from first step to measurable outcome.
Enrich with network signals
Incoming data is enhanced with signals from the Global Anti-Fraud Network and third-party sources.
Analyze with advanced AI
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities.
Decide instantly
ML outputs combine with your no-code rules to generate a risk score and a real-time decision.
Learn and improve
The Learning Loop feeds every outcome back into the models, refining accuracy over time.
Features
Built for teams that need answers now
Every layer of the platform is designed to shorten the distance between signal and decision.
Real-time risk scoring
Instant AI-powered assessment of transactions and users, so fraud is stopped at the moment of attempt, not in tomorrow's report.
No-code rules engine
Business users create and modify detection rules without technical expertise, so you adapt to new fraud patterns in minutes.
Graph Neural Networks
Analyze relationships between entities to surface fraud rings and coordinated schemes that transaction-only tools miss.
Global Anti-Fraud Network
Collective intelligence pooled across organizations, giving you fraud pattern insights far beyond your own data.
Learning Loop
Outcomes feed back into the models continuously, so detection accuracy improves with every decision the system makes.
Compliance built in
AML and KYC verification, entity screening and transaction monitoring integrated with your fraud operations, not bolted on.
Flexible dashboards
Customizable analytics and reporting interfaces with real-time insights your analysts can act on immediately.
Case management
End-to-end workflow management for investigations, so flagged activity moves to resolution without sitting in a queue.
Results
What teams say after switching
“FraudNet flexibility has helped our AfterPay business grow by allowing us to meet our increasingly complex customer and country requirements.”
“FraudNet's combination of customized machine learning and flexible rules management has been transformative.”
The difference
One platform instead of five tools
Good to know
Questions, answered fast
How fast are fraud decisions made?+
FraudNet provides real-time risk scoring and anomaly detection, so transactions are assessed at the moment they happen and decisions are delivered through RESTful APIs and webhooks.
Do we need engineers to manage the rules?+
No. The platform features a low-code/no-code rules engine and flexible dashboards, so business users can create and modify detection rules without technical expertise.
What results do companies typically see?+
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
How does the platform keep up with new fraud tactics?+
The Learning Loop system continuously incorporates new data and patterns using supervised machine learning, so detection accuracy improves as fraud evolves.
What compliance capabilities are included?+
FraudNet includes AML and KYC verification, entity screening, and transaction monitoring, all integrated with the fraud detection workflow.
Which industries does FraudNet serve?+
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention and risk management.
Get started
See how fast your fraud response can be
Book a call and a solutions advisor will walk through your transaction flow and show where FraudNet fits.
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