Instant AI-powered assessment of transactions and users, so decisions happen at the moment of risk, not after the loss.
97% fewer false positives80% less fraud20% more approvals
Fraud Answers in Milliseconds, Not Months
FraudNet scores every transaction in real time with custom AI models and a no-code rules engine. Business teams launch and adapt controls without waiting on engineering.
Talk to a solutions advisor about your fraud and compliance stack in one short call.
Features
Built for speed from data to decision
Every layer is designed to shorten the distance between a suspicious event and an action your team can take.
Real-time risk scoring
Instant AI-powered assessment of transactions and users, so decisions happen at the moment of risk, not after the loss.
No-code rules engine
Business users create and modify fraud rules without technical expertise, adapting to new fraud patterns the same day they appear.
Custom AI models
Graph Neural Networks, Generative AI and supervised machine learning tuned to your data and your fraud patterns.
Learning Loop
Outcomes feed back into the models continuously, so detection accuracy improves without manual retraining projects.
Global Anti-Fraud Network
Collective intelligence pooled across the platform's user base, giving you fraud pattern visibility beyond your own data.
Compliance built in
AML and KYC verification, entity screening and transaction monitoring integrated with the fraud stack, not bolted on.
Flexible dashboards
Customizable analytics and reporting interfaces with real-time insights your analysts can shape themselves.
Case management
End-to-end workflow management for fraud investigations, so cases move from alert to resolution without leaving the platform.
Step by step
From raw signal to decision in one pass
A simple route from setup to steady output.
Ingest
Real-time transaction and user data flows in through APIs and SDKs.
Enrich
Incoming data is enhanced with signals from the Global Anti-Fraud Network and third-party sources.
Analyze
Graph Neural Networks and Generative AI models analyze patterns and relationships between entities.
Decide
ML outputs combine with the no-code rules engine to generate risk scores in real time.
Learn
The Learning Loop feeds outcomes back into the models, improving accuracy with every decision.
97%reduction in false positives
80%reduction in fraud losses
20%boost in approval rates
Proof
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.”
How we compare
One platform instead of five tools
FraudNetTraditional tools
Real-time risk scoring and anomaly detection✓×
No-code rules managed by business users✓×
Fraud, AML and KYC in one integrated platform✓×
Shared intelligence across a global network✓×
Models that improve automatically via Learning Loop✓×
Custom ML models built on your data✓×
Common questions
Questions fraud and risk teams ask first
How fast can we act on new fraud patterns?+
The no-code rules engine lets business users create and modify detection rules without technical expertise, so your team can respond to a new pattern the same day it appears. The Learning Loop also adapts models automatically as new data comes in.
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. The low-code/no-code rules engine and flexible dashboards make the platform accessible for users without technical expertise, while custom machine learning models still run underneath.
How does real-time monitoring actually work?+
The platform provides real-time risk scoring and anomaly detection, combined with transaction monitoring and case management, so fraud attempts are caught and handled at the moment they happen.
What AI technologies are involved?+
FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for fraud detection and risk assessment, all customized to your data.
What about AML and KYC compliance?+
FraudNet offers integrated AML and KYC verification, along with entity screening and transaction monitoring, so compliance runs alongside fraud detection rather than in a separate system.
Which industries is FraudNet built for?+
FraudNet primarily serves Payments, Financial Services, Fintechs, and Commerce with customized fraud prevention and risk management.
How does the Global Anti-Fraud Network help us?+
It pools fraud patterns and insights across the platform's user base, giving every participant detection intelligence beyond their own transaction data.
Next step
See how fast your fraud response can get
Book a short call and a solutions advisor will walk through your current fraud, risk and compliance workflow and where FraudNet shortens it.
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