DataVisor Info-Session

Information Session | January 17 | 12-1:30 p.m. | Soda Hall, Wozniak Lounge (430)

 Electrical Engineering and Computer Sciences (EECS)

DataVisor provides the most advanced abuse, fraud, and money laundering detection solution designed to uncover unknown attacks. Traditional fraud solutions are in a constant cat-and-mouse game with attackers. Supervised machine learning models, the best fraud approach before DataVisor, quickly become outdated when attackers evolve their attack techniques. DataVisor's patented unsupervised approach finds new attacks without manual intervention. Our customers are among the largest online services in the world, including Yelp, Pinterest, Alibaba Group, and Fortune 500 financial institutions. Learn more about the founding story, the technology, and the future of this rapidly growing, well-funded company.

Fang Yu is the co-founder and CTO of DataVisor, where her work focuses on big data for security. Over the past 10 years, Fang has developed algorithms and built systems for identifying various kinds of malicious traffic including worms, spam, bot queries, faked and hijacked account activities, and fraudulent financial transactions. Fang obtained a PhD degree from the EECS Department at the University of California, Berkeley in 2006.

 xrg@eecs.berkeley.edu