Today, successful fraud attempts outnumber those stopped, causing security and risk experts to wonder: How can we turn the tide?
The answer lies in machine learning (ML) and artificial intelligence (AI) technologies, which ingest and understand vast historical data to identify fraudulent patterns and suspicious transactions.
This webcast will provide insights into the AI/ML fraud detection lifecycle, revealing how machine learning and artificial intelligence solutions:
Head of Product Intelligence
Big Tech, FinTech and US Navy Veteran, Shelby brings 12+ years of experience to the Digital Identity & Fraud Prevention Space. She currently holds multiple product certifications and data related degrees, with her PhD in Data Science slated to be completed this December. As the Head of Product Intelligence at Telesign she helps create the overall vision and strategy of Telesign's ML/AI product offerings, and ensures Telesign delivers a friction right experience to help businesses stop fraud. Shelby lives in Seattle, Washington where she hopes to reduce manual effort to fight fraud and make the digital identity ecosystem a safer space.
Senior Vice President of Content Strategy
Jill Aitoro is senior vice president of content strategy for CyberRisk Alliance. She has more than 20 years of experience editing and reporting on technology, business and policy. Prior to joining CRA, she worked at Sightline Media as editor of Defense News and executive editor of the Business-to-Government Group. She previously worked at Washington Business Journal and Nextgov, covering federal technology, contracting and policy, as well as CMP Media’s VARBusiness and CRN and Penton Media’s iSeries News.