Compromise Detection

Utilize consortium data to identify a compromised merchant before your cardholders.

Mobile Payment
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Data breaches set the stage for a perfect storm of CNP fraud

While not all compromises are intended to enable a fraudulent attack, it is estimated that close to 80% of reported events are data theft to enable fraud, with the remaining number being espionage for other reasons. One fact is clear, whether the primary intention is fraud or not, the compromised records hold value and are easy to re-sell on the dark web.

Over 90% of the frauds suffered are predicted to be rooted in a data compromise, and our early studies have also proven that the majority volume of CNP threats have a direct link to data compromise.

Detect compromises faster

Identifying and managing merchant compromises with your own data is challenging. Exploiting the muscle of consortium data from a network of 9,000+ institutions can make this challenge a manageable one by turning your compromise detection into a team effort. Combine this robust data lake with always-on analytics and your organization can take the best action before an event occurs.

Neutralize sophisticated fraudsters

It takes 191 days, on average, for a merchant to identify and notify affected cardholders of a compromise. Fraudsters are automating their attacks and, when successful, replicating the attacks at scale. Using consortium data found in the FICO® Falcon® Intelligence Network, your organization can gain a larger picture of compromised merchants, allowing you to neutralize these events quicker by using transaction activity beyond your own cardholder transactions.

Protect and retain your customers

Without using a targeted approach for the identification of merchant compromises, your customer experience can suffer. Customers can be the victims of unidentified fraud compromises as well as lose access to their cards when they are re-issued, causing customer dissatisfaction and lack of trust with your organization.

Identify compromised events faster

Many organizations use manual time-consuming processes to uncover a merchant compromise. Using analytics and consortium data, your organization can be proactive in detecting and prioritizing compromised merchants and data breaches, enabling your fraud team to make more accurate decisions.

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Fraud Protection and Compliance
Case Study

Top-tier European Bank

Find out how a top-tier European bank removed time-consuming manual processes to prevent more than $3 million in fraud losses per year.
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How can we help?

Would you like to talk to an expert about how you can detect merchant compromises faster, reduce fraud losses, and increase cardholder satisfaction?