Cracking the Digital Identity Crisis With Fraud Analytics, AI and ML
Learn how diving deep into data helps organizations gauge whether their customers are real and reduce losses from the fastest-growing financial crime in the US.
About the webinar
Since COVID-19 began sweeping the globe, fraudsters and scammers have come out of the woodwork to steal or misuse personally identifiable information to commit identity theft.
The fraudsters are using fictitious or synthetic IDs to wreak financial havoc in the fastest-growing type of financial crime in the US.
And thanks to an abrupt shift toward virtual and mobile products and services, challenges that once loomed in the future now need attention immediately.
In this webinar, industry experts and fraud specialists explain how a new approach powered by machine learning digs deep into massive stores of third-party data to authenticate real identities and pinpoint stolen and synthetic IDs in real time.
What you'll learn:
- How synthetic IDs infiltrate every stage of the payments life cycle.
- Why AI, machine learning and decisioning are key to authenticating customers’ identities and recognizing stolen and synthetic IDs.
- What cloud-based solutions can do to reduce downtime and implementation costs.
- How SAS helped third-party lender Axcess Financial cut identity fraud by 80% in just 90 days.