The Future of Anti-Fraud Technology

The Future of Anti-Fraud Technology

Technological advancements present opportunities for both fraud perpetrators and those trying to stop them. As criminals find new ways to exploit technology to commit their schemes and target new potential victims, anti-fraud professionals must ensure they are likewise adopting new technologies that are the most effective in navigating the evolving threat landscape.

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The Future of Fraud Risk Management and the Use of Robotics

The Future of Fraud Risk Management and the Use of Robotics

A recent Reuters article about the “expense report of the future” included a discussion about the future of fraud risk management and the use of robotics. Though not a new discussion, this article highlighted the most common uses of the technology without using the trendy approach of claiming robots are taking over.

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How Data Analytics Can Illuminate Fraud Schemes

How Data Analytics Can Illuminate Fraud Schemes

Organizations that implement proactive data monitoring detect frauds 58% faster and experience losses that are 52% lower than organizations that don’t, according to the ACFE’s 2018 Report to the Nations. As these numbers indicate, harnessing your organization’s data can have a significant impact on your efforts to detect and prevent fraud. But introducing data analytics into your fraud-fighting toolbox is not a cut-and-dried process. There’s no universal checklist to follow. Every organization has different data to work with, and unique priorities and organizational goals. It takes a hands-on approach to figure out what will work best for you and your organization.

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Why Video Analytics Is the Next Big Weapon to Fight Fraud

Why Video Analytics Is the Next Big Weapon to Fight Fraud

Payment card fraud detection involves banks and financial organizations leveraging analytics to delve into card transaction data and build counter-fraud models. Over the years, the discipline of fraud analytics has evolved to crafting machine learning algorithms which recognize highly complex fraud patterns in enormously large volumes of records.

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