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Protect you revenue and reputation with Microsoft Dynamics 365 Fraud Protection

With an adaptive AI technology you will be able to minimize return and discount fraud by continously evolveing patterns of fraud. You will be provided with different tools to reduce fraud and abuse, reduce operational expenses, and increase acceptance rates.

Microsoft Dynamics 365 Fraud Protection offer three kinds of protection; Account, Purchase and Loss Protection, which will help you detect fake account creation, improve transaction acceptance rates, and identify anomalies and protential fraud.

The technology gives you a broad awareness of fraud activity across the globe, which can help building a durable defense against fraud.

Download our OnePager on Fraud Protection

Dynamics 365 Fraud Protection Capabilities

Account Protection

Protection of your accounts by gaining awareness of account fraud activity, detecting fraud patterns and identifying returning devices with Adaptive AI models.

Also, you can minimize the risk of bot networks attempting to gain access using stolen credentials - all the while customer delays and friction are minimized.

Purchase Protection

Adaptive AI adapts to patterns of payment fraud an the technology takes advantage of worldwide connected knowledge about fraud activity - minimizing fraud loss and balances profit.

You increase transaction acceptance and improve customer support with risk insight.

Loss Protection

Detecting fraud in physical stores can be a challenge for many retailers. With fraud prevention adaptive AI technology continuously learns and adapts from fraud patterns.

This helps protect your revenue by identifying anomalies and potential fraud on returns and discounts arising from omni-channel purchases or employees, which enables investigators to reduce manual efforts and thereby increase operational efficiency and time to identify potential fraudulent behavior from customers or employees

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Webinar

What is Fraud and how do you deal with it?

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Workshop

Fraud-in-a-Day

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Blogs

Danske retail-butikker mister årligt over 2,5 milliarder kroner på grund af tyveri, refunderingssvindel, rabatsvindel med mere. Men kunstig intelligens og machine learning kan hjælpe med til at nedbringe tabet.

Louise Hermansen

Industry Practice Lead

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