DataVisor's quarterly fraud index report indicates that sophisticated fraud campaigns are beginning to outwit machine learning solutions.
We are proud to announce that Yinglian Xie, CEO and co-founder of DataVisor, has been selected to be honored in the CEO category of the second annual Silicon Valley Business Journal C-Suite Awards.
DataVisor CEO Yinglian Xie discusses her predictions for an active fraud ecosystem at online marketplaces and e-commerce sites during the 2018 Holiday Season with PYMNTS' Karen Webster in this podcast.
DataVisor, a leading fraud detection platform, introduced new functionality with its 2018 Fall Release to improve customers’ ability to gain insight into the fraud and abuse impacting their business.
DataVisor, a leading fraud detection platform, announced today in its quarterly fraud index report that more than one in five user accounts set up through cloud service providers may be fraudulent.
Deep learning has been applied to image recognition and natural language processing, but can it work for fraud detection? DataVisor's Director of Research Ting-Fang Yen explores how Spark and Tensor Flow can allow deep learning to outperform existing technologies.
Enterprise Management 360 features DataVisor #6 in its Top 10 Innovations in Cybersecurity for its ability to stop fraud in real-time with advanced analytics and adaptive machine learning.
DataVisor's VP of Engineering David Ting discusses how DataVisor optimizes its AWS stack with spot fleets, dynamic instance launches, & RT cost tracking, all while protecting over 4B users from fraud at the AWS Summit Anaheim 2018.
Forbes recognizes DataVisor as one of the 25 Machine Learning Startups to Watch in 2018 for its application of Unsupervised Machine Learning to fraud detection.
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.