Leverage the power of unsupervised machine learning to defeat fraud with speed and agility.
dCube is the complete AI-powered fraud management solution that enables the proactive defeat of emerging fraud.
Get detailed fraud signals in real time, and take proactive steps to defeat both known and unknown fraud.
This is part one of a three-part blog post series highlighting some of the key things to look for when it comes to choosing a third-party fraud prevention solution. In this post, we go over topics such as multi-layer protection, target use cases, global reach and data, etc.
Stop application and transaction fraud, account takeover, money laundering, and more.
Learn how leading financial institutions are using ML to proactively detect card application fraud.
Build and maintain trust by stopping fraud before reputational damage occurs.
Every company is different, and every attack is different. When it comes to defeating fraud, success is determined organization by organization. From mass registrations and fake listings, to ATO and spam, to promo abuse and bot attacks,…
Keep your platform safe and secure by purging spam and harmful posts.
Understand the range of modern fraud attacks to ensure complete coverage for your organization.
Discover all the ways our clients are staying ahead of fraud by embracing AI-powered solutions that enable their organizations to know the unknown.
5 stories. 5 victories against fraud. See how organizations across industries are proactively defeating attacks.
Get experts insights on how to deploy cutting-edge fraud solutions to defeat even the most sophisticated modern attacks.
Discover advanced strategies for managing the rapidly-evolving fraud attacks plaguing the modern banking sector.
Delve deep into proprietary research to ensure your organization stays ahead of malicious threats.
Customers online want convenience, ease, and access. Fortunately, your business offers it all. Unfortunately, that’s what fraudsters want too. To a cyber criminal, those features means vulnerabilities. To bring you the very latest and most…
Learn from leading experts in the fields of AI, machine learning, and fraud prevention as they provide rich insights on fraud trends and solutions.
DataVisor’s ethical mission, visionary talent, and cutting-edge products, made this writer’s career choice an easy one.
DataVisor believes online crime can be stopped. DataVisor has created the technology to stop it. DataVisor is stopping it. I find that powerful. I find that fascinating. I find that moving. I find that to be an amazing, compelling, vital story. That’s why I joined DataVisor.
Deep learning has been applied to image recognition and natural language processing, but can it work for fraud…
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.
DataVisor's VP of Engineering David Ting discusses how DataVisor optimizes its AWS stack with spot fleets, dynamic…
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.
David Ting, Vice President of Engineering from DataVisor, presented “How AI Technology Can Improve the ROIs of…
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 presents its products at the Mountain View Tech Showcase.
DataVisor was featured at the Mountain View Tech Showcase alongside other Silicon Valley leaders 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…
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.
DataVisor's Director of Strategy Igor Bidny discusses cutting edge trends and techniques for applying machine learning…
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 new Fraud Index Report reveals dramatic growth in fraud infrastructure, with fraudulent accounts growing by 50% from Q4 2017 to Q1 2018.
The DataVisor Fraud Index Report for Q1 2018 is based on attacks detected by the DataVisor UML Engine between January and March of 2018, and incorporates analysis of over 40 billion application-level events and 680 million user accounts across some of the largest internet properties and financial…
DataVisor's Yuhao Zheng and Boduo Li share advanced techniques for managing thousands of spark workers to analyze…
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.