Your Deep Learning Toolset

Augment Your Team’s Intelligence

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The Solution

Machine learning models are expertly engineered with the nuances of your business and industry already built in.

Our comprehensive, adaptive scoring system performs a detailed analysis and delivers a single risk score, then learns from its decisions only to become more and more accurate over time.

AI & Machine Learning

1,200+

variables appended to your transactions
to fuel the algorithms’ accuracy

3,000,000+

features are created & analyzed by our
deep learning models.

$14.7 Trillion

in new value will be won by 2030
by AI’s early adopters. Don’t lose out.

Benefits

Real-Time Protection

Flexible and modular verification is necessary to enable merchants to confirm a user’s identity, order details, and purchasing methods.

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Frictionless Commerce

Advanced technology enables organizations to test ‘intelligent’ commerce’ by thrilling customers with even greater convenience and speed.

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Anomaly Detection

A big part of building a threat intelligence program is identifying anomalies quickly, with certainty, and auto-triggering counter-measures.

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Early Warning System

Secure your websites and mobile apps. Be alerted of attacks as they happen, on your site and across the network.

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Early Adopters Will Win Big

As computer processing power has increased, so has the ability to analyze large training data sets. It is now possible to successfully analyze billions of transactions, account openings and other financial events, in real time and at scale. Fraud.net’s AI team specializes in techniques known as ‘deep learning’ as artificial neural networks have many (‘deep’) layers of simulated interconnected neurons.

If you have a data science team, they most likely are focused on helping to grow your company.  If they are focused on risk control, they would benefit greatly by tapping in to Fraud.net’s global risk data. Or let us run your risk AI program for you.

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AI strategies
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To the Victor Go the Spoils

Early experimentation with AI-enhancements is critical. Fraud.net makes the complex process of applying AI in risk-based use cases much easier.

With minimal seed data about the transaction, Fraud.net can greatly increase the quantity and quality of the data, automatically test thousands of model algorithms and parameter combinations, and generate an optimized model, helping to make better decisions more quickly.

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