Get detailed, real-time fraud signals powered by machine learning, and take proactive steps to defeat even the most sophisticated fraud attacks.
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.
Get real-time protection for mobile and web applications by gathering extensive device information and accurately identifying manipulated devices.
Companies must make the leap successfully from the centralization of data to the centralization of intelligence.
Combine sophisticated out-of-box features and advanced AI and machine learning-enriched features to build powerful rulesets for comprehensive fraud detection.
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…
Leverage the power of an end-to-end fraud modeling platform combining unparalleled control with enterprise capabilities.
dCube is the complete AI-powered fraud management solution that enables the proactive defeat of emerging fraud.
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.
Eliminate fraud losses and provide great experiences to loyal customers by proactively detecting and preventing promotion abuse, bot attacks, account takeover, and more.
Read this case study to learn how DataVisor detected hundreds of thousands of fake accounts with 99.5% accuracy.
Ensure platform safety, protect good customers, and reduce fraud losses.
When a top delivery services company that processes over 6 billion packages annually succumbs to mass registration attacks, it’s a complex problem that demands an advanced solution. Fortunately, using dVector from DataVisor, the company…
Prevent financial loss from fraudulent subscribers, protect against ATO, and stop spam and phishing attacks.
5 stories. 5 victories against fraud. See how organizations across industries are proactively defeating attacks.
Detect fraudulent claims and applications, spot collusion, and prevent dishonest agents from deceiving insurers.
First in a three-part series focusing on fraud modeling. The series covers pre-modeling, modeling, and post-modeling.
Uncover and block fraudulent reservations in real time, prevent losses from loyalty program fraud, and protect good customers.
As malicious bot attacks become more sophisticated, one airline is fighting back.
Leverage proprietary unsupervised machine learning technologies to proactively detect fast-changing attack patterns and capture entire fraud rings before financial loss occurs
Detect transaction fraud in real time to prevent financial loss, and allow legitimate transactions to go through with no friction.
Enhance detection and fluidly adapt to new and evolving money-laundering tactics. Maintain compliance with full transparency and explainable results.
Detect, deter, and defeat known and known money-laundering attacks.
Analyze context and linkages to discover fraudster activity early, at the registration stage. Create frictionless experiences for good customers, and purge damaging content.
In the United States, the USPS handles more than 500 million pieces of mail each day, while FedEx and UPS deliver a combined 34 million packages, not to mention the packages handled by smaller parcel services. With such a high volume of…
Predict and prevent suspicious activity, reduce overhead and boost review efficiency, and block fake accounts at the gate to protect good customers throughout the lifecycle of their journey.
This e-book describes how four e-commerce companies are using DataVisor’s fraud solutions to successfully fight modern fraud.
Consistently produce reliable results with high accuracy, capture fraudulent accounts at the point of registration, and implement scalable solutions for multiple regions and businesses. Ensure that valuable promotions reach real customers, and power ongoing business growth.
It’s no secret that flights can be expensive. So when airlines offer great deals, it’s a tough opportunity to pass up. This isn’t just a head-turner for travelers, however; fraudsters are also taking advantage of low airfare deals and…
Discover all the ways our customers are staying ahead of fraud by embracing AI-powered solutions that enable their organizations to know the unknown.
Get experts insights on how to deploy cutting-edge fraud solutions to defeat even the most sophisticated modern attacks.
This e-book explores the next generation of fraud prevention technology, which applies unsupervised machine learning to reduce false positives and risk.
Delve deep into proprietary research to ensure your organization stays ahead of malicious threats.
Can your business react in real time to a sophisticated digital threat attack? The scale will be massive, the speed unprecedented, and the potential damage incalculable. Will you be ready?
Learn from leading experts in the fields of AI, machine learning, and fraud prevention, as they provide rich insights on fraud trends and solutions.
Watch this webinar to learn about how faster payments have become the new reality in more than 40 countries, and how this innovation is benefiting consumers and businesses alike.
The DataVisor approach combines applied machine learning capabilities with powerful investigative workflows and an intelligence network of more that 4B user accounts to provide real-time fraud signals, insights, and protection to preserve vital trust and security.
Our mission is to deliver the world’s most sophisticated AI-powered solutions to keep companies and their customers safe from fraud and abuse.
Our products combine breakthrough AI with seamless workflows to enable fraud and data science teams to proactively defeat emerging fraud with speed and agility.
Our approach draws on the power of proprietary unsupervised machine learning algorithms to detect known and unknown malicious behavior with pinpoint accuracy—all without the need for lengthy training times, large datasets, or frequent re-tuning.
Yinglian has over 10 years of experience in security, specializing in fighting large-scale attacks with AI and Big Data technologies. Previously, Yinglian worked at Microsoft protecting hundreds of millions of users across a wide range of Microsoft products.
Fang spent 8 years at Microsoft Research developing big-data algorithms and systems for identifying various malicious traffic such as worms, spam, bot queries, hijacked accounts, and fraudulent financial transactions across a wide range of Microsoft products.
David brings over two decades of experience to his role, and has previously led several startups through successful IPOs and acquisitions, including Virsa Systems (SAP) and Interwoven (Hewlett-Packard).
Priya brings two decades of experience holding leadership roles in high-growth technology organizations, including industry leaders VISA and Cisco, and Silicon Valley unicorns Nutanix and Adaptive Insights.
Wade heads up Finance, Accounting, HR, and Administration for DataVisor. He has over 15 years of experience leading finance teams at high-growth organizations such as Esurance (acquired by Allstate) and Siperian (acquired by Informatica.
Caiwei Li has over ten years experience in fin-tech working for leading companies including Paypal and Visa. Before joining DataVisor, Caiwei was the Chief Software Architect in Risk at Ant Financial. He designed and developed a world-leading risk management platform to enable real-time fraud detection and risk control.
Kathleen has extensive experience leading searches for some of Silicon Valley’s fastest growing startups. She previously led Angel Technology Partners, and founded The Avery Group, which was sold to a NASDAQ-listed company at a 100x return.
Juzheng Yang has previously worked in the Network Economic Research Center of Peking University, the Strategy Department and the Cloud Computing Department (Tianyi Cloud) of China Telecom. He has more than 10 years of market practice experience in the field of cloud computing, big data and digital transformation.
Tony Sun has over 15 years risk management experience in the field of banking and credit card industry in China. He has previously worked at China Construction Bank, Bank of Communications, and HSBC.
Jun has nearly two decades of experience in the IT industry. He began his career with IBM and later joined the Ontario Public Service. He has previously led expansions into East and South China for two startup companies.
Hao has rich experience in both pre-sales operations as a Solution Architect at Oracle, and post-sales lifecycle management as Product Support Specialist at OSIsoft. His expertise and insights in risk management has helped 40+ clients implement large-scale anti-fraud systems and Trust & Safety practices.