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.
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.
dCube features a hyper-modern architecture to manage complex digital signals at big data scale. it enables all stakeholders to collaborate on a single platform. The result is increased operational efficiency, significant financial savings, and frictionless customer experiences.
Bot-powered credential stuffing attacks are coordinated, automated, massive in scale, and they must be stopped.
To prevent credential stuffing and account takeover, an advanced fraud management solution is required; one that can review users and events holistically, and reveal the clandestine correlations and patterns that signify fraudulent attacks.
Fraudsters are constantly finding ways to commit fraud through the mobile channel.
The most effective way to address modern mobile attacks is by finding hidden connections between accounts and activities in order to catch fraud before damage happens.
DataVisor's CEO discusses the biggest trends in digital fraud from 2018 and makes predictions for 2019.
With the onslaught of high profile fraud attacks, there is no doubt that fraud management teams will need to incorporate new AI and machine learning approaches to secure their technology architecture as they win the hearts and minds of their valuable customers.
Learn how fraudsters are using breached data to monetize their crimes and inflict systemic damage.
There are broad implications associated with data and personal information being exposed. While organizations need to take preventative measures against data breaches, they also need to protect themselves against any fraudulent activity that might follow the data compromise.
Explore insights about proactive approaches to fraud prevention, and the role of unsupervised machine learning.
Digital fraud attacks have become increasingly sophisticated and their complexity brings more and more concern for social forums, digital commerce, online banking and other consumer-facing enterprises. New fraud types require new fraud solutions.
Explore how breaches happen, the ways customers are impacted, and how damage can be contained.
Compromised accounts are sold for a variety of downstream attacks impacting retailers, financial services, and e-commerce platforms. This makes it necessary for organizations to implement system-level protection and create protective layers at the application level.
Holidays provide fraudsters with ample attack opportunities. Unsupervised Machine Learning offers a viable defense.
DataVisor provides a holistic solution to solve all marketplace use cases for both buyers and sellers. DataVisor protects marketplaces through the entire cycle—from account opening through all ensuing activities—with comprehensive account monitoring.