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 AwardToday, 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 Learning [...]
We’re excited to announce that Bloomberg BusinessWeek in conjunction with AI List, a venture capital investment platform, named DataVisor as one of the top 30 AI startups in the US. AI List’s search began with [...]