March 29, 2016 | 1:30 p.m. EST (5:30 GMT)
Webinar Duration: 60 Minutes | Course Level: Basic
Field of Study: Specialized Knowledge and Applications
Recommended Prerequisite: None
Advanced Preparation: None | CPE Credit: 1
Organizations are often hindered in detecting application fraud because of siloed data, limited analytics, and the inability to quickly update models and rules. Current fraud detection procedures often result in high levels of false positives which require intensive manual review and unhappy
customers. Discover new ways to take a more integrated approach to fraud detection across various online and mobile application workflows to reduce application fraud and increase customer satisfaction.
In this webinar, you will learn how to:
- Implement frictionless identity verification tools upfront to limit schemes like synthetic identity fraud
- Identity methods to employ predictive analytics, including machine learning and neural networks, across multiple data resources
- Recognize techniques to apply dynamic rules and logic to existing and shared data based on new learning
- Determine ways to leverage industry and fraud data exchanges for more effective fraud detection
AVP of Identity and Fraud Product Management
Sponsored by Equifax
Equifax powers the financial future of individuals and organizations around the world. Using the combined strength of unique trusted data, technology and innovative analytics, Equifax has grown from a consumer credit company into a leading provider of insights and knowledge that helps its customers make informed decisions. The company organizes, assimilates and analyzes data on more than 800 million consumers and more than 88 million businesses worldwide, and its databases includes employee data contributed from more than 5,000 employers.
Information you provide during the registration of this webinar will be provided to the sponsor, Equifax, and may be used to send you information, special offers or promotions from Equifax.