Instant AI-powered assessment of every transaction and user, so you catch fraud before it settles.
97% fewer false positives80% less fraud20% higher approval rates
Stop flagging good customers as fraud
FraudNet's AI-powered risk engine cuts false positives by 97% while reducing fraud losses by 80%. Real-time scoring, no-code rules, and a global anti-fraud network built for payments and fintech teams.
See how FraudNet fits your fraud stack in a 30-minute call.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
Why now
Legacy fraud tools cost you good customers
High false-positive rates, manual reviews, and siloed point solutions drain revenue and frustrate legitimate users.
The old way
- ×Legitimate transactions get flagged as fraud, creating customer friction and lost revenue
- ×Manual review queues grow faster than your team can handle them
- ×Fraud tactics evolve faster than static rules can adapt
- ×Compliance tools live in separate systems from fraud detection, creating gaps
- ×You only see fraud patterns from your own data, not the broader landscape
The FraudNet way
- ✓AI-powered risk scoring evaluates every transaction in real time with 97% fewer false positives
- ✓No-code rules engine lets business users adapt detection logic without engineering support
- ✓Learning Loop system continuously refines models as new fraud patterns emerge
- ✓AML, KYC, entity screening, and transaction monitoring in one integrated platform
- ✓Global Anti-Fraud Network pools intelligence across organizations for collective defense
Your path
From data ingestion to real-time decision in milliseconds
From first touch to real results, without the guesswork.
Ingest and enrich
Real-time transaction and user data flow in through APIs and SDKs, enriched with signals from the Global Anti-Fraud Network and third-party sources.
Analyze with AI
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities to identify risk.
Score and decide
The decision engine combines ML model outputs with your no-code rules to generate a risk score and trigger real-time actions via webhooks.
Learn and improve
The Learning Loop feeds outcomes back into the models, continuously improving detection accuracy as fraud tactics evolve.
What it does
Everything you need to detect, prevent, and manage fraud
One integrated platform replaces fragmented point solutions across fraud, risk, and compliance.
Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so you catch fraud before it settles.
No-code rules engine
Business users create and modify fraud detection rules without writing code or waiting on engineering.
Custom AI models
Graph Neural Networks, Generative AI, and supervised machine learning trained on your data for precise pattern recognition.
Learning Loop system
Detection accuracy improves continuously as outcomes feed back into the models, adapting to new fraud tactics automatically.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you visibility into fraud patterns beyond your own data.
Compliance suite
Integrated AML and KYC verification, entity screening, and transaction monitoring keep you compliant across jurisdictions.
Flexible dashboards
Customizable analytics and reporting interfaces deliver real-time insights tailored to your team's workflow.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, from alert to closure.
What teams see
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.”
Common questions
Common questions about FraudNet
What is FraudNet's core offering?+
FraudNet is an enterprise-level fraud and risk management platform that combines AI-powered solutions for fraud detection, compliance, and risk management with a no-code rules engine and real-time monitoring.
How does the Learning Loop system work?+
The Learning Loop continuously adapts and improves detection accuracy by incorporating new data and patterns, using supervised machine learning and advanced AI to enhance fraud prevention over time.
What results can companies expect?+
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
Which industries does FraudNet serve?+
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce industries with customized fraud prevention and risk management solutions.
What AI technologies does FraudNet use?+
FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced fraud detection and risk assessment.
Is technical expertise required to use the platform?+
No. FraudNet features a low-code/no-code rules engine and flexible dashboards, making it accessible for users without technical expertise while maintaining powerful capabilities.
What compliance solutions are included?+
FraudNet offers AML and KYC verification, entity screening, and transaction monitoring as part of its integrated compliance suite.
Take the next step
Ready to cut false positives by 97%?
Book a call with the FraudNet team to see how the platform fits your fraud, risk, and compliance workflow.
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