Instant AI-powered assessment of transactions and users, so fraud is stopped at the moment of attempt, not in tomorrow's review queue.
97% fewer false positives80% fraud reduction20% more approvals
Fraud decisions in milliseconds, not days
FraudNet scores every transaction in real time with custom AI models and a no-code rules engine. Payments teams typically cut fraud losses by up to 80% within 90 days.
Talk to a solutions advisor about your fraud and compliance stack in a 20-minute call.
Trusted by teams at
CitibankMastercardRivertyBokuNelnetArvatoBankjoyAcima
97%reduction in false positives
80%reduction in fraud losses
20%boost in approval rates
90 daystypical time to measurable results
Capabilities
Built for speed, from data to decision
Every layer is designed to shorten the distance between a suspicious event and an action.
Real-time risk scoring
Instant AI-powered assessment of transactions and users, so fraud is stopped at the moment of attempt, not in tomorrow's review queue.
No-code rules engine
Business users create and modify detection rules without technical expertise, cutting adaptation time to new fraud patterns from weeks to hours.
Custom AI models
Graph Neural Networks, Generative AI and supervised machine learning analyze patterns and relationships between entities, tuned to your business.
Learning Loop system
Detection outcomes feed back into the models continuously, so accuracy improves with every decision instead of decaying.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base gives you visibility into fraud patterns beyond your own data.
Compliance built in
AML and KYC verification, entity screening and transaction monitoring run alongside fraud detection, not in a separate tool.
Flexible dashboards
Customizable analytics and reporting interfaces deliver real-time insights without waiting on data teams.
Case management
End-to-end workflow management for investigations, so flagged cases move to resolution fast with full tracking.
Why teams switch
Slow fraud tools cost you twice
Every hour of delay means lost revenue from fraud and lost customers from false declines.
The old way
- ×Legacy systems flag legitimate customers, driving false positives and lost revenue
- ×Manual transaction reviews eat analyst time and slow response to new fraud patterns
- ×Point solutions for fraud, AML and KYC don't talk to each other, so integration drags on for months
- ×Your fraud intelligence is limited to your own data, while fraud rings share intelligence across targets
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 to new fraud patterns without waiting on engineering
- ✓Fraud detection, entity screening, AML/KYC compliance and case management in one integrated platform
- ✓The Global Anti-Fraud Network pools fraud intelligence across organizations so you learn from patterns you never saw
Getting started
From raw signal to decision in one pass
A simple route from setup to steady output.
Ingest in real time
APIs and SDKs stream transaction and user data into the platform as events happen.
Enrich with network signals
Incoming data is enhanced 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 relationships between entities.
Decide instantly
ML outputs combine with your no-code rules to generate a risk score, delivered back to your systems via RESTful APIs and webhooks.
Learn and improve
The Learning Loop feeds outcomes back into the models, so detection accuracy keeps climbing over time.
Results
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 fast can we see results?+
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates, with measurable results within 90 days of implementation.
Do we need technical expertise to run it?+
No. FraudNet features a low-code/no-code rules engine and flexible dashboards, so business users can build and adjust fraud rules without engineering support.
How does the platform keep up with new fraud tactics?+
The Learning Loop system continuously incorporates new data and patterns using supervised machine learning, so detection accuracy adapts instead of going stale.
What compliance capabilities are included?+
AML and KYC verification, entity screening, and transaction monitoring are built into the same platform as fraud detection.
Which industries is FraudNet built for?+
Payments, Financial Services, Fintechs, and Commerce, with customized fraud prevention and risk management for each.
How does it connect to our systems?+
Through RESTful APIs, webhooks and SDKs for real-time data ingestion and decision delivery, plus a pre-built TSYS integration for faster onboarding.
Next step
See how fast your fraud response can get
Book a call and a solutions advisor will map FraudNet to your transaction flow, compliance needs and current tooling.
Book a call