From Bouncer to Revenue Generator: Machine Learning in Fraud Prevention

Innovation
Machine Learning
Fraud prevention innovation
Özgür Ekici -- Experian
Apr 06, 2022
Webinars

False positives down, revenue up! Learn from an Experian fraud expert how machine learning strengthens fraud prevention, reduces false positives, and leads to new revenues. 

Fraud prevention is one of the most exciting areas in commerce. However, it is also challenging to core business functions. This webinar will present how modern fraud prevention becomes more efficient through machine learning models and how this results in new revenue potential.

By participating in this webinar, the learner should be able to understand:

  • State-of-the-art fraud prevention methods and current fraud figures
  • How machine learning supports fraud prevention
  • Why companies should rely on smart fraud prevention with machine learning models

Some content is hidden, to be able to see it login here Login

Blue-tinted background of a man watching a webinar

Host a Webinar with the MRC

Help the MRC community stay current on relevant fraud, payments, and law enforcement topics.
Submit a Request

Publish Your Document with the MRC

Feature your case studies, surveys, and whitepapers in the MRC Resource Center.
Submit Your Document

Related Resources

Mar 01, 2023
The Updated Fraudsters’ Toolkit (and How To Neutralize It)

Fraudsters run a business. They’re nimble, agile and creative, and the fraud toolkit never cease to expand. From stolen credentials to synthetic identities, location and IP spoofing, they have hundreds of ways to circumvent traditional fraud prevention strategies. Beyond what we have been doing for the past decade, there are new ways, and new datapoints we can leverage to disrupt fraudsters’ businesses. Advanced location intelligence and IP address analysis, modern device profiling and innovative identity proofing tools all help high risk industries stay ahead of fraud. But this cutting edge tech can be hugely beneficial to merchants, and doesn’t require extensive technical expertise or big fraud investigation teams to implement. It can be transformative to our business, help reduce losses, but most importantly, help build trust and loyalty with our customers.

Learning Objectives:

  • How advanced geolocation data and other advanced data points serve as a critical first line of defense against fraud
  • How those datapoints can help prevent, not only transaction fraud, but also subscription fraud, account takeovers and abusive chargebacks as well as first-party fraud
  • Innovative and effective tools to combat the threats posed by anonymous actors online
  • Success stories and real-life examples of how this technology is used every day
  • How geolocation can help merchants collaborate more effectively with law enforcement
Dec 07, 2022
Why Is Effective Fraud Prevention Essential in Aiding a Positive Customer Journey

Company reputations can be made and broken in the blink of an eye. With the vast choices now available to online shoppers, it is up to eCommerce merchants to make a series of vital decisions in order to build and maintain positive customer experiences (UX).

It may not seem evident from the outset, but choosing the right or wrong anti-fraud system can significantly improve or damage every customer journey, from start to finish. This is why it is crucial to find the perfect solution to beat fraudsters by using non-invasive ID authentication measures (while being PSD2 and 3DS2 compliant). Thankfully, there are easy-to-implement and cost-effective solutions to ensure things run seamlessly.

We aim to present to you how choosing advanced fraud solutions, you not only benefit from protecting your online payment process by stopping fraud before it happens, but securing your business, your customers, and the overall UX. The key to success lies in a holistic approach to fraud management, which includes the use of behavioral biometrics and digital fingerprinting to understand user intentions and motivations, device and network settings to weed out automated bots, but also uncover fraudsters and dishonest customers hiding their true identities and locations.

How does this benefit the customer journey? Test 5,000+ pieces of data takes place automatically and in real-time, all powered by machine learning models and completely unseen by customers. From registration, use of service, making payments, and effective resolution of returns and disputes - you can stop fraudsters and dishonest customers before they’ve had a chance to do any damage. By building a safe and frictionless service path, you ensure new and existing customers are happy, value your service and will continue to use it. All of this converts into a positive online reputation - a vital currency in the digital age!

Join our webinar to discover how to achieve the perfect customer UX without a drop in security.

Learning Objectives:

  • Awareness of how advanced fraud solutions can help build and maintain a positive customer UX
  • To understand the benefits of behavioral biometrics in fraud prevention to aid the process of frictionless ID authentication
  • How machine learning models aid analyses of behavioral biometrics and digital fingerprinting to weed out fraudsters and dishonest customers while ensuring a positive customer UX
  • Awareness of the different anti-fraud systems used by e-Commerce merchants and how their choices can result in a friction-full or frictionless UX
  • How Nethone authenticates every single digital service user at every stage of the customer journey
X
Cookies help us improve your website experience.
By using our website, you agree to our use of cookies.
Confirm