Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so threats are caught the moment they occur.
97% fewer false positives80% less fraud20% more approvals
Cut fraud 80% with real-time AI detection
FraudNet deploys in weeks, not months. Get instant risk scoring, a no-code rules engine, and a learning loop that adapts as fast as fraud evolves.
See how fast you can go live
Inside the product
Everything you need to stop fraud at speed
One integrated platform for detection, compliance, and risk management - no stitching point solutions together.
No-code rules engine
Business users create and modify fraud detection rules without engineering help, adapting to new patterns in minutes.
Graph Neural Networks + Generative AI
Advanced models analyze relationships between entities and patterns that traditional systems miss entirely.
Learning Loop system
Outcomes feed back into models continuously, so detection accuracy improves automatically as new fraud patterns emerge.
Global Anti-Fraud Network
Collective intelligence shared across organizations gives you fraud pattern data far beyond your own experience.
Built-in AML and KYC compliance
Entity screening, transaction monitoring, and case management handle compliance requirements alongside fraud detection.
Flexible dashboards
Customizable analytics and reporting interfaces deliver real-time insights tailored to your team's workflow.
API-first integration
RESTful APIs and webhooks connect FraudNet to your existing systems for real-time decisions without rip-and-replace.
Why teams switch
Old fraud tools are too slow to keep up
Legacy systems flag good customers, miss new attack patterns, and take months to configure. FraudNet closes that gap.
- ×High false positive rates frustrate legitimate customers and cost revenue
- ×Manual reviews drain teams and slow down operations
- ×Point solutions for fraud, compliance, and risk don't talk to each other
- ×Static rules can't adapt to rapidly evolving fraud tactics
- ×Months-long implementations delay time-to-value
- ✓Real-time risk scoring flags threats the moment a transaction happens
- ✓No-code rules engine lets business users adapt detection in minutes
- ✓End-to-end platform covers fraud detection, entity risk, and AML/KYC compliance in one place
- ✓Learning Loop continuously retrains models on new patterns so accuracy improves over time
- ✓Pre-built integrations and RESTful APIs get you live in weeks, not months
97%Reduction in false positives
80%Reduction in fraud
20%Boost in approval rates
WeeksTypical deployment time
The flow
From data to decision in milliseconds
A simple route from setup to steady output.
Ingest real-time data
Transaction and user data flow in through APIs and SDKs the moment activity occurs.
Enrich with network signals
Incoming data is enhanced with signals from the Global Anti-Fraud Network and third-party sources for broader context.
Analyze with AI models
Graph Neural Networks and Generative AI analyze patterns and entity relationships to identify risk.
Score and decide
The decision engine combines ML outputs with your no-code rules to generate a risk score in real time.
Learn and improve
The Learning Loop feeds outcomes back into the models, continuously refining accuracy with every transaction.
Results
Teams that moved fast and saw results
“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
Questions, answered
How fast can we deploy FraudNet?+
Most teams go live in weeks, not months. Pre-built integrations and an API-first architecture let you connect existing systems without a rip-and-replace project.
Do we need technical staff to manage the rules engine?+
No. The no-code rules engine and flexible dashboards are designed for business users. You can create and modify fraud detection rules without engineering involvement.
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.
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 uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for advanced pattern recognition and fraud detection.
How does the Global Anti-Fraud Network work?+
The Global Anti-Fraud Network pools fraud patterns and insights across multiple organizations, giving every participant collective intelligence far beyond their own data.
Does FraudNet handle compliance requirements?+
Yes. FraudNet includes integrated AML and KYC verification, entity screening, and transaction monitoring capabilities alongside fraud detection.
How does the Learning Loop improve detection over time?+
The Learning Loop continuously feeds transaction outcomes back into the models, refining detection accuracy as new fraud patterns emerge - without manual retraining.
Next step
Ready to cut fraud and move faster?
Book a call and see how quickly FraudNet can go live for your team.
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