97% fewer false positivesAML & KYC built inNo-code rules engine

Stop Losing Good Customers to False Positives

FraudNet's AI platform cut false positives by 97%, fraud by 80%, and lifted approval rates 20% for payments and financial services teams. Real-time decisions, no data scientists required.

Talk to a solutions advisor about your fraud and compliance stack.

97%reduction in false positives
80%reduction in fraud losses
20%boost in approval rates

Trusted by teams at

CitibankMastercardRivertyBokuArvatoBankjoyNelnetAcima

The shift

Your fraud tools are blocking honest customers

Legacy detection flags legitimate transactions, burns analyst hours, and still misses the fraud that matters.

The old way

  • ×High false positive rates create customer friction and lost revenue
  • ×Manual reviews drain analyst time on transactions that should auto-clear
  • ×Fraud tactics evolve faster than static rules can keep up
  • ×Compliance, screening, and monitoring live in separate point solutions
  • ×Detection arrives too late to stop losses in real time

The FraudNet way

  • ✓AI risk scoring clears good transactions instantly and flags real threats
  • ✓A no-code rules engine lets business users adapt detection in minutes
  • ✓Graph Neural Networks and Generative AI uncover hidden entity relationships
  • ✓AML, KYC, entity screening, and case management in one platform
  • ✓A Learning Loop retrains models on every outcome, so accuracy compounds

Step by step

From raw signal to decision in real time

A simple route from setup to steady output.

(1)

Ingest

Collect real-time transaction and user data through APIs and SDKs.

(2)

Enrich

Add signals from the Global Anti-Fraud Network and third-party sources.

(3)

Decide

Graph Neural Networks, Generative AI, and the rules engine combine into a risk score, delivered via API or webhook.

(4)

Learn

The Learning Loop feeds every outcome back into the models, improving accuracy continuously.

Inside the product

One platform, end-to-end fraud protection

Detection, compliance, and investigation working from the same data and the same models.

(1)

Real-time risk scoring

Instant AI assessment of every transaction and user, so decisions happen in the moment, not after the loss.

(2)

No-code rules engine

Business teams build and modify fraud rules without engineering help, adapting to new schemes the same day they appear.

(3)

Graph Neural Networks

Analyze relationships between entities to expose fraud rings and coordinated attacks that transaction-only tools miss.

(4)

Global Anti-Fraud Network

Collective intelligence pooled across the FraudNet user base, giving you fraud pattern data far beyond your own book.

(5)

AML & KYC compliance

Entity screening, transaction monitoring, and KYC verification built in, so compliance and fraud share one workflow.

(6)

Case management

End-to-end workflow for investigations and resolution tracking, closing the loop from alert to outcome.

Results

What customers say

“FraudNet flexibility has helped our AfterPay business grow by allowing us to meet our increasingly complex customer and country requirements.”
Arvato Customer - Arvato
“FraudNet's combination of customized machine learning and flexible rules management has been transformative.”
Countingup Customer - Countingup

Good to know

Questions we hear from risk teams

Do we need data scientists to run FraudNet?+

No. The platform features a low-code/no-code rules engine and flexible dashboards, so business users can build and modify detection logic without technical expertise.

What results do companies typically see?+

Customers typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.

How does the Learning Loop improve detection over time?+

The Learning Loop continuously incorporates new data and outcomes, using supervised machine learning to adapt detection accuracy as fraud patterns evolve.

What compliance capabilities are included?+

AML and KYC verification, entity screening, and transaction monitoring are all built into the platform.

Which industries does FraudNet serve?+

Payments, Financial Services, Fintechs, and Commerce, with fraud prevention and risk management tailored to each.

Ready when you are

See what 97% fewer false positives looks like for your portfolio

Book a call and a solutions advisor will map FraudNet to your fraud, risk, and compliance workflows.

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