Instant AI-powered assessment of transactions and users, so fraud attempts are stopped the moment they happen.
97% fewer false positives80% fraud reduction20% more approvals
Fraud decisions in milliseconds, not days
FraudNet scores every transaction and entity in real time with custom AI models. Most teams go live in weeks, not months, with a no-code rules engine your analysts control.
Talk to a solutions advisor about your fraud and compliance stack.
Trusted by teams at
CitibankMastercardRivertyBokuArvatoNelnetPlanetPaymentBankjoy
Inside the product
Everything you need to detect, decide and comply - fast
One integrated platform replaces the patchwork of point tools, so your team spends time on investigations, not integrations.
Real-time risk scoring
Instant AI-powered assessment of transactions and users, so fraud attempts are stopped the moment they happen.
No-code rules engine
Business users create and modify fraud rules without engineering help, adapting to new fraud patterns in minutes.
Custom AI models
Graph Neural Networks, Generative AI and supervised machine learning tuned to your fraud patterns and data.
Learning Loop system
Detection outcomes feed back into the models continuously, so accuracy improves with every decision.
Global Anti-Fraud Network
Collective intelligence shared across the platform's user base, giving you fraud pattern visibility beyond your own data.
Built-in AML and KYC compliance
Entity screening, transaction monitoring and KYC verification integrated directly into your fraud workflow.
Flexible dashboards
Customizable analytics and reporting interfaces with real-time insights your whole risk team can use.
Case management
End-to-end workflow management for fraud investigations, from alert to resolution.
The case for change
Legacy fraud tools cost you twice: losses and lost customers
Point solutions and static rules were built for yesterday's fraud patterns. FraudNet was built to adapt as fast as the attackers do.
The old way
- ×High false positive rates block good customers and drain revenue
- ×Manual reviews eat analyst hours on transactions that AI could clear instantly
- ×Fraud tactics change faster than engineering can update hard-coded rules
- ×Fraud, AML and KYC tools live in separate systems that don't share signals
- ×You only see fraud patterns from your own data, not the wider network
The FraudNet way
- ✓Real-time risk scoring and anomaly detection on every transaction and user
- ✓No-code rules engine lets business analysts update detection logic in minutes
- ✓Learning Loop system retrains models continuously as new fraud patterns emerge
- ✓Fraud detection, entity screening, AML/KYC and case management in one platform
- ✓Global Anti-Fraud Network pools intelligence across organizations for stronger detection
97%reduction in false positives
80%reduction in fraud
20%boost in approval rates
Weekstypical time to go live, not months
The flow
From raw data to a decision in one pass
Start fast and see the difference within weeks.
Ingest in real time
Transaction and user data flows in through APIs and SDKs as it happens - no batch delays.
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 to your systems via API or webhook.
Learn and improve
The Learning Loop feeds every outcome back into the models, so detection gets sharper over time.
Proof
Teams that moved fast and saw the difference
“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
How fast can we get up and running?+
FraudNet is built for rapid deployment. With pre-built integrations such as the TSYS connector, teams typically onboard in weeks rather than months, with no complex development required.
Do we need technical expertise to manage the platform?+
No. The no-code rules engine and flexible dashboards let business users create and modify fraud detection rules without engineering support, while the platform still offers advanced capabilities for technical teams.
What results do customers typically see?+
Companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.
What AI technologies does FraudNet use?+
FraudNet uses Supervised Machine Learning, Graph Neural Networks, and Generative AI for pattern recognition, fraud detection and risk assessment.
How does the Global Anti-Fraud Network work?+
It pools fraud patterns and insights across the platform's user base, so every participant benefits from collective intelligence beyond their own transaction data.
Does FraudNet cover compliance requirements?+
Yes. The platform includes AML and KYC verification, entity screening, and transaction monitoring as part of an integrated compliance suite.
Which industries does FraudNet serve?+
FraudNet serves Payments, Financial Services, Fintechs, and Commerce, including ISOs managing merchant portfolios.
Next step
See how fast your fraud response can get
Book a call and a solutions advisor will map FraudNet to your fraud, risk and compliance stack.
Book a call→