Real-time risk scoringNo-code rules engineAML & KYC built in

Fraud decisions in milliseconds, not days

FraudNet scores every transaction in real time with AI that learns from each outcome. Teams cut fraud losses by up to 80% and false positives by 97%.

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

What you get

Everything you need to detect, decide and comply - in one platform

Built for payments, financial services, fintechs and commerce teams that need answers now, not after the fact.

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

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.”
Arvato team AfterPay business - Arvato
“FraudNet's combination of customized machine learning and flexible rules management has been transformative.”
Countingup team Countingup

How we compare

Reactive monitoring vs. real-time intelligence

FraudNetTraditional fraud tools
Real-time risk scoring on every transaction+×
No-code rules engine for business users+×
Shared intelligence across a global network+×
Fraud detection, AML and KYC in one platform+×
Models that improve automatically via a Learning Loop+×
Entity-level risk analysis with Graph Neural Networks+×

Good to know

Questions fraud and risk teams ask us first

How fast can we get value from FraudNet?+

FraudNet connects to your systems through RESTful APIs, webhooks and SDKs, and the no-code rules engine means business users can start building rules without a development project. Book a call to discuss your timeline with a solutions advisor.

What results do companies typically see?+

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 low-code/no-code rules engine and flexible dashboards make the platform accessible to users without technical expertise, while custom machine learning models remain available for advanced needs.

What AI technologies does FraudNet use?+

Supervised Machine Learning, Graph Neural Networks and Generative AI, combined in a Learning Loop system that continuously improves detection accuracy.

What compliance capabilities are included?+

AML (Anti-Money Laundering) and KYC (Know Your Customer) verification, entity screening, and transaction monitoring are built into the platform.

Which industries does FraudNet serve?+

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

How does the Global Anti-Fraud Network work?+

It provides collective intelligence across the platform's user base, pooling fraud patterns and insights so every participant detects threats they would never see from their own data alone.

Move forward

See how fast your fraud response can get

Book a call and walk through your transaction flow with a solutions advisor. Find out where real-time scoring and a learning system change your numbers.

Book a call