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.
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.