Conserve your marketing spend

Marketing Intelligence

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The Solution

Fraud will consume 30 to 40 percent of global digital media investment in 2025, an amount that could amount to $150 billion

Our device and behavioral, machine learning, data expansion services can help differentiate bots from humans and legitimate from malicious users.

Marketing Channel Monitoring


variables appended to your transactions
to fuel the algorithms’ accuracy.


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.


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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Boost Your Marketing ROI

40% of advertisements invoiced and broadcast on the Internet are not actually seen by visitors. Fraud in digital marketing primarily takes two forms: 1) click fraud, mostly bot-based fraud attacks that generally go undetected and that are designed run up marketing spend, and 2) transactional fraud committed through new, unknown, suspicious or malicious marketing channels.

In either case,’s anti-fraud platform can produce the analytics and machine-learned models to detect and stop these attacks.

Loan Credit Fraud Image
A woman smiling while texting

Early Adopters Will Win Big

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

Early AI adopters have higher sales growth and profit margins — and the performance gap with the laggards is expected to widen further.