F FraudNet AI Fraud & Risk Management Book a call
97% fewer false positives80% less fraud20% more approvals

Fraud decisions in milliseconds, not days

FraudNet scores every transaction in real time with AI that learns from each outcome. Business teams tune the rules themselves, no code required.

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

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

Why now

Legacy fraud tools cost you twice: in losses and in reviews

Point solutions and manual reviews slow everything down while fraud patterns move faster than your rules.

The old way

  • ×High false positive rates block good customers and drain revenue
  • ×Manual transaction reviews eat analyst hours every day
  • ×Fraud tactics evolve faster than conventional rules can catch
  • ×Separate tools for fraud, AML and KYC create integration headaches
  • ×Detection arrives too late to stop losses in real time

The FraudNet way

  • ✓Real-time risk scoring and anomaly detection on every transaction
  • ✓No-code rules engine so business users adapt detection in minutes
  • ✓Graph Neural Networks and Generative AI spot patterns across entities
  • ✓Fraud detection, AML and KYC compliance in one integrated platform
  • ✓Global Anti-Fraud Network shares fraud intelligence across organizations

Inside the product

Everything fraud and risk teams need, in one platform

Detection, compliance and investigation tools that work together from day one.

I

Real-time risk scoring

Instant AI-powered assessment of transactions and users, so decisions happen in the moment, not after the loss.

II

No-code rules engine

Business users create and modify fraud rules without engineering help, adapting to new fraud patterns in minutes.

III

Custom AI models

Supervised Machine Learning, Graph Neural Networks and Generative AI trained on your data for precise detection.

IV

Learning Loop

Every outcome feeds back into the models, so detection accuracy keeps improving as new patterns emerge.

V

Global Anti-Fraud Network

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

VI

AML and KYC compliance

Entity screening, transaction monitoring and verification tools built in, not bolted on.

VII

Flexible dashboards

Customizable analytics and reporting interfaces with real-time insights for fraud and risk teams.

VIII

Case management

End-to-end workflow management for fraud investigations, from alert to resolution.

Step by step

From raw data to a decision, in one pass

A clear path from first step to measurable outcome.

I

Ingest in real time

Transaction and user data flows in through APIs and SDKs as it happens.

II

Enrich with network signals

Incoming data is enhanced with signals from the Global Anti-Fraud Network and third-party sources.

III

Analyze with AI

Graph Neural Networks and Generative AI models analyze patterns and relationships between entities.

IV

Decide instantly

ML outputs combine with your no-code rules to generate a risk score, delivered to your systems via RESTful APIs and webhooks.

V

Learn and improve

The Learning Loop feeds outcomes back into the models, so accuracy compounds over time.

How we compare

Point tools vs. an end-to-end platform

FraudNetPoint solutions
Real-time risk scoring and anomaly detection✓×
Fraud, AML and KYC in one integrated platform✓×
No-code rules managed by business users✓×
Shared intelligence across a global network✓×
Models that learn from every outcome✓×

Trusted by teams at

MastercardCitibankRivertyBokuNelnetArvatoBankjoyAcima

FAQ

Questions fraud and risk teams ask

How fast can we see results?+

FraudNet delivers real-time risk scoring from the start, and companies typically experience a 97% reduction in false positives, an 80% reduction in fraud, and a 20% boost in approval rates.

Do we need technical expertise to run it?+

No. The platform features a low-code/no-code rules engine and flexible dashboards, so business users can manage detection without engineering support.

What AI technologies does FraudNet use?+

Supervised Machine Learning, Graph Neural Networks, and Generative AI, combined in custom models for pattern recognition and risk assessment.

How does the Learning Loop work?+

The Learning Loop continuously incorporates new data and outcomes to adapt and improve detection accuracy over time.

What compliance capabilities are included?+

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

Which industries does FraudNet serve?+

Payments, Financial Services, Fintechs, and Commerce, with customized fraud prevention and risk management.

How does the Global Anti-Fraud Network help us?+

It pools fraud patterns and insights across the platform's user base, giving every participant detection intelligence beyond their own data.

Take the next step

See real-time fraud decisions on your own data

Book a call and a solutions advisor will walk through your fraud, risk and compliance workflow in one session.

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