通过自动化 AI 检测系统清除垃圾邮件和有害内容，确保平台安全，优化用户体验。
了解 Knowledge Graph 智能知识图谱产品的功能模块、技术原理、产品亮点、与其他图谱类工具的对比等，请下载智能知识图谱产品白皮书。…
Discover all the ways our customers are staying ahead of fraud by embracing AI-powered solutions that enable their organizations to know the unknown.
Delve deep into proprietary research to ensure your organization stays ahead of malicious threats.
Get experts insights on how to deploy cutting-edge fraud solutions to defeat even the most sophisticated modern attacks.
"How are criminals using stolen data?" was the most requested question in Fang Yu's recent Quora Session.
The data breach itself isn’t the real concern. It’s the downstream attacks that follow.
Putting advanced analytics, robust rule management and optimization, and efficient case management to work to defeat…
Putting advanced analytics, robust rule management and optimization, and efficient case management to work to defeat known and unknown fraud. In this post, the third installment in our three-part series on fraud modeling, we’re going to look at what happens after models are deployed. This…
Leveraging the power of machine learning to build intelligent solutions that empower organizations to proactively…
Leveraging the power of machine learning to build intelligent solutions that empower organizations to proactively defend their businesses, their customers, and their data. There are many ways to understand AI and machine learning, and as many definitions of each as you might care to research. In…
Discover how to build, test and deploy high-performance fraud models in a matter of minutes, instead of days.
Fraud model building must be rapid enough to respond to fraud threats and abuse in real time. DCube facilitates collaboration between fraud and data science teams to build models, review detection results, compare models, improve performance, and deploy in production for enhanced efficiency.
First in a three-part series focusing on fraud modeling. The series covers pre-modeling, modeling, and post-modeling.
DCube’s powerful array of capabilities combine to put real power in the hands of users, enabling teams to accelerate the pre-modeling process. Data scientists are able to focus on what really matters—building high-performance models—instead of cleaning up poor quality data.
DataVisor’s Vice President of Business Development, Partnerships, and Sales discusses world-changing AI-powered fraud solutions.
The goal is to bring visionary technology to the biggest platforms out there—to bring DataVisor to the masses. DataVisor’s solutions are beyond what is currently available to the market. DataVisor is leading the way to a new vision for fraud management; one that prioritizes proactivity.
Six women speak about their careers and accomplishments, and the opportunities and challenges of life in Silicon Valley.
These women are contributing to DataVisor’s success in profound and meaningful ways. They are leaders, mentors, and innovators who continue to embrace lifelong learning as they relentlessly renew their commitment to self-betterment and exploration.
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.
With supervised machine learning becoming commoditized, businesses are left with components rather than solutions.
Many offerings are simply tools or computing elements that enable access to machine learning. They are not equivalent to actual end-to-end solutions. Making this distinction is important since customers are ultimately looking for ways to address critical business challenges.