Graph Neural Networks, Generative AI, and supervised machine learning analyze patterns and relationships between entities, not just transactions.
Fraud defense that earns its trust daily
FraudNet combines real-time risk scoring, AML and KYC compliance, and a global anti-fraud network in one secure platform. Every decision is explainable, adaptive, and built for enterprise scale.
Talk directly with a fraud and risk specialist about your portfolio.
Inside the product
One platform, every layer of defense
Detection, compliance, and investigation working from the same data and the same truth.
Advanced AI models
Graph Neural Networks, Generative AI, and supervised machine learning analyze patterns and relationships between entities, not just transactions.
Real-time risk scoring
Instant assessment of transactions and users with anomaly detection, so threats are stopped before losses land.
No-code rules engine
Business users create and modify fraud rules without technical expertise, adapting to new patterns in minutes.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base, giving every participant broader visibility than their own data alone.
Compliance suite
Integrated AML and KYC verification, entity screening, and transaction monitoring to meet regulatory obligations.
Case management
End-to-end workflow management for fraud investigations and resolution tracking, from alert to outcome.
Flexible dashboards
Customizable analytics and reporting interfaces with real-time insights for monitoring and stakeholder updates.
Learning Loop
Outcomes feed back into the models continuously, so detection accuracy improves as your business and fraud patterns change.
Trusted by teams at
How it works
From raw signal to decision in real time
From first touch to real results, without the guesswork.
Ingest
Collect real-time transaction and user data through APIs and SDKs.
Enrich
Enhance incoming data with signals from the Global Anti-Fraud Network and third-party sources.
Analyze
Graph Neural Networks and Generative AI models examine patterns and relationships between entities.
Decide
The decision engine combines ML outputs with the no-code rules engine to generate risk scores.
Learn
The Learning Loop feeds outcomes back into the models, improving accuracy over time.
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.”
Versus the old way
FraudNet vs. assembled point tools
Answers
Questions risk and compliance teams ask us
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.
Do we need technical expertise to run the platform?+
No. FraudNet features a low-code/no-code rules engine and flexible dashboards, so business users can operate it effectively while the platform retains full enterprise capabilities.
How does the platform keep up with new fraud tactics?+
The Learning Loop system continuously incorporates new data and patterns using supervised machine learning and advanced AI, so detection accuracy improves over time instead of degrading.
What compliance capabilities are included?+
AML and KYC verification, entity screening, and transaction monitoring are built into the platform, alongside case management for investigations.
Which industries does FraudNet serve?+
Payments, Financial Services, Fintechs, and Commerce, with solutions customized to each industry's fraud and risk profile.
How does the Global Anti-Fraud Network work?+
It pools fraud patterns and insights across the platform's user base, giving every participant collective intelligence beyond their own transaction data.
Move forward
See what your fraud stack could be
Book a call and walk through your current fraud, risk, and compliance gaps with a specialist.
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