Machine Learning is the cutting edge of fraud detection and prevention; in response to the ongoing surge in cybercrime this technology can provide businesses with unprecedented levels of accuracy in identifying and differentiating between genuine customers and fraudsters.” – Luciano Scalise, MD Decision Analytics, Experian EMEA & APAC

Find out how AI and Machine Learning are becoming essential attributes in the battle against fraud

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Although fraud has always been a challenge the recent growth in the volume and complexity of fraud attacks is forcing many leaders to look for new solutions to this problem. According to our latest research, investing in fraud prevention is now the top priority for nearly 3 in 4 of the surveyed business leaders.

Online businesses have traditionally relied on rules-based fraud systems that depend on fraud specialists to identify fraud patterns. This approach has become outdated as the fraud threat constantly evolves, and the result is increasing fraud losses with overly complex rule sets that require a large number of manual reviews.

To combat the growing fraud threat many businesses are looking to Artificial Intelligence (AI) and Machine Learning (ML). This technology is revolutionising the way that businesses identify and prevent fraud. As with any new technology, it is important to appreciate the advantages and challenges involved with ML before deciding to use it.


What’s covered in Experian’s guide to ML fraud prevention?

Our comprehensive PDF guide will help you understand ML fraud technology and how it can benefit your business. We explain the technical aspects with simple diagrams to make this complex subject as accessible as possible.

Why you should read our ML fraud guide:

  • Find out why ML is the most accurate method of identifying fraud
  • Compare the differences between ML and rules-only fraud prevention systems
  • Discover the benefits of using ML in fraud prevention
  • Be aware of the potential problems involved with ML
  • Understand the regulatory environment and how this will affect ML fraud models
  • Learn how ML can help reduce manual reviews and false positives

Find out how AI and Machine Learning are becoming essential attributes in the battle against fraud

Download the guide

What makes Experian’s ML fraud prevention guide different?

To give you a better understanding of ML fraud prevention we included some of our research insights from our global survey of nearly 2,000 business leaders. We reveal the top challenges preventing businesses from successfully managing fraud and the biggest obstacles that prevent the implementation of ML fraud models.

You’ll also find an extensive glossary of ML fraud terminology and a description of the different types of online fraud. We’ve capitalised on our large network of ML specialists to provide you with the most up-to-date and relevant information about ML fraud prevention technology.

Download your complimentary guide to ML fraud prevention today

Experian is on a mission to make the digital world a safer place by empowering businesses with the information and technology they need to protect themselves from the growing threat of fraud. We operate across 45 countries and have the experience and expertise to help you create a customised fraud solution designed to meet the exact needs of your business.

We invite you to download your own complimentary copy of our guide to ML fraud prevention. If you would like to know more about how Experian can help you set up and manage a range of fraud prevention solutions – contact us to speak to a local consultant.