Instant AI-powered assessment of every transaction and user, so fraud is blocked before it happens - not after the money moves.
97% fewer false positives80% less fraud20% more approvals
Approve more customers. Block more fraud.
AI-powered fraud detection that cuts false positives by 97% and lifts approval rates by 20%. Stop turning away good customers while real threats slip through.
See how FraudNet fits your fraud stack in a 30-minute walkthrough.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetPlanetPaymentArvatoBankjoy
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
What it does
Everything you need to detect, decide, and comply
A single platform combining custom AI models, real-time scoring, and built-in compliance - no stitching point solutions together.
Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so fraud is blocked before it happens - not after the money moves.
No-code rules engine
Business users create and modify fraud detection rules without writing code, adapting to new threats in minutes instead of weeks.
Custom AI models
Graph Neural Networks, Generative AI, and supervised machine learning work together to spot complex patterns and entity relationships.
Learning Loop system
Detection accuracy improves continuously as outcome data feeds back into the models, keeping you ahead of evolving fraud tactics.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you fraud pattern insights far 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 visibility into risk trends, team performance, and case outcomes.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, from alert to closure.
The case for change
Legacy fraud tools cost you good customers
High false-positive rates, manual reviews, and siloed point solutions slow you down and let new fraud patterns through.
Step by step
From data ingestion to real-time decision in milliseconds
From first touch to real results, without the guesswork.
Ingest & enrich
Real-time transaction and user data flows in through APIs and SDKs, then gets 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 entity relationships, while the no-code rules engine applies your business logic.
Score & decide
The decision engine combines ML model outputs with your rules to generate a risk score and trigger real-time actions through RESTful APIs and webhooks.
Learn & improve
The Learning Loop feeds outcomes back into the models, continuously improving detection accuracy so your defenses get stronger over time.
Outcomes
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.”
FAQ
Common questions about FraudNet
What is FraudNet's core offering?+
FraudNet is an enterprise-level fraud and risk management platform combining AI-powered 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 see 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 with customized fraud prevention and risk management solutions.
What AI technologies does FraudNet use?+
FraudNet employs 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.
Next step
Ready to approve more and fraud less?
Book a call to see how FraudNet's AI-powered platform fits your fraud, risk, and compliance workflow.
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