DataVisor’s CEO Yinglian Xie is interviewed by vpnMentor to discuss how DataVisor uses Multi-Dimensional Algorithms to detect Fraudulent User Accounts before they launch malicious attacks.
The DataVisor report provides the latest insights into trends in global fraud activity and attack techniques. Last quarter, we uncovered a total of 900 million malicious activities and transactions. The report reveals dramatic growth in fraud infrastructure, with fraudulent accounts growing by 50% from Q4 2017 to Q1 2018.
DataVisor’s Yuhao Zheng and Boduo Li share advanced techniques for managing thousands of spark workers to analyze billions of events at a time, including clustering workers and automated, optimized management of DataVisor’s spark infrastructure.
DataVisor’s Ting-Fang Yen and Arthur Meng present a novel deep learning technique for scalable online fraud detection among billions of users.
DataVisor is honored to be named as a Top 25 Tech Company to Watch 2018 by the Wall Street Journal for it’s machine-learning, big-data fraud detection solution.
With online criminals getting highly skilled at attacking enterprises every day, it’s getting difficult for businesses to tell the difference between legitimate and fraudulent activity. Learn how UML can detect threats before they are known.
Julian Wong, VP of Customer Success at DataVisor is interviewed about the world of online fraud, spam and abuse, and how to use big data and unsupervised machine learning to fight these scourges.
Yinglian Xie, CEO & Co-Founder of DataVisor was recently featured FOCUS Magazine’s “Innovators in China” feature article.
David Ting, VP of Engineering at DataVisor, was recently featured on the This Week in Enterprise Tech Podcast.