Digital Fraud: Trends and MitigationsDataVisor CEO Yinglian Xie Shares Insight from New Trends Report
DataVisor recently conducted its latest Digital Fraud Trends study, and it uncovered some startling findings about the latest threats to the digital banking/payments landscape. CEO Yinglian Xie shares the findings and analysis on how to improve fraud defenses with machine learning.
In a video interview with Information Security Media Group, she discusses:
- Key findings from the fraud study;
- How attack techniques continue to evolve;
- How to best defend this new digital banking/payments landscape.
Yinglian Xie is CEO and Co-Founder of DataVisor, a leading Silicon Valley-based technology company providing advanced fraud management solutions powered by artificial intelligence. Founded in 2013, DataVisor empowers enterprise clients across the globe to proactively detect and defeat the most sophisticated modern attacks through the use of proprietary unsupervised machine learning algorithms, powerful big data architecture, and a robust suite of modeling and analytics solutions. Before founding DataVisor, Yinglian worked at Microsoft Research, where her focus was on advancing the security of online services with big data analytics and machine learning. Yinglian completed both her Ph.D. and post-doctoral work in Computer Science at Carnegie Mellon University, and currently holds over 20 patents in her field. A highly-regarded researcher, author, and conference contributor, Yinglian is widely regarded as one of the most influential figures in the areas of artificial intelligence, machine learning, and big data security.