Learn about the latest trends and insights in the world of online fraud from our analysis of over 4 billion accounts from some of the largest internet properties and financial services in the world.
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 was recognized as a winner of MEDICI Top 21 – RegTech Awards for its ability to predict emerging threats and defend against sophisticated fraud techniques.
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 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.
Frost & Sullivan 2017 Global Fraud Detection Technology Innovation Award Today, we're excited to announce that we've received the 2017 Global Fraud Detection Technology Innovation Award from Frost & Sullivan for our unique Unsupervised Machine [...]