Instant AI-powered assessment of every transaction and user, so fraud attempts are stopped as they happen, not after the loss.
Real-time risk scoringNo-code rules engineAML & KYC built in
Fraud decisions in milliseconds, onboarding in weeks
FraudNet combines custom machine learning, a no-code rules engine, and a global anti-fraud network to cut fraud losses by up to 80% without slowing down approvals.
Talk to a solutions advisor about your fraud, risk, and compliance stack.
Trusted by teams at
MastercardCitibankRivertyBokuNelnetArvatoAcimaBankjoy
97%reduction in false positives
80%reduction in fraud losses
20%boost in approval rates
Weekstypical time to deploy, not months
Inside the product
Everything you need to detect, decide, and comply in real time
One integrated platform replaces the patchwork of fraud, risk, and compliance tools.
Real-time risk scoring
Instant AI-powered assessment of every transaction and user, so fraud attempts are stopped as they happen, not after the loss.
No-code rules engine
Business users create and modify fraud rules without technical expertise, so you adapt to new fraud patterns in hours, not sprints.
Custom AI models
Graph Neural Networks, Generative AI, and supervised machine learning analyze patterns and relationships between entities.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base, giving you fraud pattern data far beyond your own experience.
Learning Loop system
Detection outcomes feed back into the models continuously, so accuracy improves as new fraud patterns emerge.
Compliance suite
AML and KYC verification, entity screening, and transaction monitoring built into the same platform as your fraud detection.
Flexible dashboards
Customizable analytics and reporting interfaces with real-time insights for fraud and risk teams.
Case management
End-to-end workflow management for fraud investigations, from alert to resolution.
The case for change
Legacy fraud tools cost you twice: in losses and in lost customers
Point solutions and manual reviews can't keep pace with modern fraud tactics or evolving AML and KYC rules.
The old way
- ×High false positive rates flag good customers and kill revenue
- ×Manual transaction reviews drain analyst time
- ×Stitched-together point tools for fraud, compliance, and risk create integration headaches
- ×Fraud patterns evolve faster than rule updates
- ×Your fraud intelligence is limited to your own data
The FraudNet way
- ✓Real-time risk scoring and anomaly detection act on transactions as they happen
- ✓A no-code rules engine lets business users adapt rules without engineering help
- ✓One end-to-end platform covers detection, entity risk, AML, and KYC
- ✓A Learning Loop system continuously retrains models on new fraud patterns
- ✓The Global Anti-Fraud Network pools intelligence across the entire user base
The flow
From raw data to a real-time decision in five steps
Start fast and see the difference within weeks.
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 analyze patterns and relationships between entities.
Decide
ML model 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.
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.”
FAQ
Questions fraud and risk teams ask us first
How quickly can we get up and running?+
FraudNet is customizable and scalable, with pre-built integrations such as TSYS that let teams onboard in weeks rather than months, without complex development work.
What results can we expect?+
Companies typically see a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
Do we need technical expertise to manage the platform?+
No. The low-code/no-code rules engine and flexible dashboards make it accessible for business users, while custom machine learning models handle the heavy analysis.
What AI technologies does FraudNet use?+
Supervised Machine Learning, Graph Neural Networks, and Generative AI, combined through a Learning Loop that continuously improves detection accuracy.
What compliance capabilities are included?+
AML and KYC verification, entity screening and monitoring, and transaction monitoring, all integrated with fraud detection in one platform.
Which industries does FraudNet serve?+
Payments, Financial Services, Fintechs, and Commerce, with customized fraud prevention and risk management for each.
Next step
See how fast FraudNet can go live for your stack
Book a call and a solutions advisor will walk through your fraud, risk, and compliance requirements.
Book a call→