Leverage the power of unsupervised machine learning to uncover correlated patterns and reveal hidden connections between accounts before sophisticated fraud attacks can launch.
dCube is the complete AI-powered fraud management solution that enables the proactive defeat of emerging fraud.
Get detailed, real-time fraud signals produced through advanced contextual detection and holistic analysis, 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.
Accelerate feature engineering, leverage global intelligence from more than 4.2B user accounts, and draw on advanced deep learning features to increase coverage and reduce false positives.
First in a three-part series focusing on fraud modeling. The series covers pre-modeling, modeling, and post-modeling.
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…
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.
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.
Discover the key to implementing AI-powered solutions that live up to the hype.
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.
Fake listings and mass registrations were wreaking havoc on a global online marketplace that operates in 40+ countries and has over 350 million monthly active users. With their reputation in jeopardy and their good customers leaving, the…
Detect and prevent sophisticated ATO attacks before damage happens. Eliminate false positives, and consistently deliver friction-free experiences to good customers.
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.
Protect your platform and your users from spam, scams, and toxic content. Ensure extraordinary experiences for good customers by maintaining a fraud-free environment.
A top U.S-based online reviews platform with over 170 million total reviews was suffering severe financial and reputational damage due to massive amounts of fake reviews and spam. The company was incurring increased compliance risk, and…
Get reliable results with high accuracy, boost efficiency, and implement scalable solutions to cover multiple use cases. Match the speed, scale, and complexity of modern, bot-powered 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.
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.
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.
Drawing on 80B events, 758M users, and 368M IPs, DataVisor’s Fraud Index Report tackles content abuse—how it happens, why it’s scaling, and how to stop it.
Learn from leading experts in the fields of AI, machine learning, and fraud prevention, as they provide rich insights on fraud trends and solutions.
The real concern with a data breach is what happens next, because of what fraudsters will do with the stolen data.
Stolen data can be used anywhere. In fact, it will be. The question is, can you stop the attack before it’s too late?
E-commerce sites that offer shipping services are being increasingly targeted by fraudsters who exploit platform vulnerabilities.
Shipping-related fraud has become a critical part of the modern fraudster’s cross-platform toolkit, but contextual detection, holistic data analysis, and unsupervised machine learning can combine to stop fraud before damage happens.
The decision for businesses is a simple one: choose to protect your customers before the damage happens, or after.
Recent research makes it clear that customers today expect companies to protect their personal and financial data—or else.
Proactive fraud prevention is a concept, but it’s also something that can be applied in very tangible and tactical ways.
If you're only keeping up with fraud, you're already behind. It's only through proactive fraud prevention approaches that modern fraud can be stopped.
Defining a fraud strategy that can accommodate continuous change is no easy task. But it is possible.
Here are three tips on how you can implement a fraud strategy that enables you and your team to react rapidly to emerging fraud channels, patterns, and techniques.
Advanced algorithms, big data analytics, and real-time detection capabilities are empowering marketplaces and social…
Advanced algorithms, big data analytics, and real-time detection capabilities are empowering marketplaces and social platforms to detect fraud holistically and act decisively.
How to achieve exceptional model accuracy in minutes instead of months with automated feature engineering and…
How to achieve exceptional model accuracy in minutes instead of months with automated feature engineering and unsupervised machine learning. Sophisticated modeling practices are critical for modern fraud management, and the ability to detect, deter, and defeat massive-scale coordinated attacks is…
The theft of financial data via simple “living off the land” (LotL) attacks can lead to massive, bot-powered fraud.
Small incidents can lead to big problems very quickly—particularly when bots are involved. If you have one bot attack, you have the potential of millions of bot attacks. This is why proactive fraud solutions are so critical. The sooner you stop the problem, the smaller the damage will be.
As malicious bot attacks become more sophisticated, the ticketing industry is struggling. One airline is fighting back.
Modern online fraud is massive in scale, and the rise of bot-powered attacks has increased scope and complexity. Reactive strategies are not enough. The goal shouldn’t be to fix the damage. The goal should be to prevent it.