David Ting, Vice President of Engineering from DataVisor, presented “How AI Technology Can Improve the ROIs of Acquiring New Users” discussing the challenge of fake app install at ChinaJoy in Shanghai.
DataVisor was featured at the Mountain View Tech Showcase along side other leading MV-based companies like Facebook, Google, LinkedIn, and Intuit.
In response to a large number of data leakage incidents in the era of blockchain and artificial intelligence, countries have proposed higher data compliance requirements. How companies proactively deal with complex and rampant fraud attacks has become an important issue of increasing concern.
Yinglian was invited to speak about how DataVisor stops Fraud and Abuse with Unsupervised Machine Learning at the 2018 Microsoft Startup Showcase.
DataVisor's Director of Strategy Igor Bidny discusses cutting edge trends and techniques for applying machine learning to fraud investigation. With the rise of coordinated, sophisticated attacks, taking advantage of the latest big data and machine learning technology is ever more important.
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.
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.
Today, we’re excited to publicly announce the DataVisor Automated Rules Engine, a rules engine that maintains itself. By eliminating the need for human effort to add, tune, and delete rules, it’s the most sophisticated rules [...]