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.
Discover AI-powered fraud strategies for preventing financial and reputational damage in this powerful eBook.
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.
Early detection stops money launderers from using stolen or synthetic identities to create fraudulent accounts to move and transfer funds.
Unsupervised machine learning algorithms look at complex networks of transactions instead of individual ones, and can detect and eliminate launderers who deposit small denominations of funds to avoid CTR reporting.
Real-time machine learning recognizes and puts a stop to fraudsters that attempt to mask money flow by transferring funds across multiple mule accounts.
Catch sophisticated money launderers with the comprehensive fraud management solution that combines unsupervised machine learning algorithms with powerful enterprise workflows. Perform global network detection to holistically reveal money laundering patterns, while lowering false positives and ensuring operational efficiency.
Detect hidden networks of money laundering activity with a robust fraud detection solution that combines adaptive machine learning technology and powerful investigative workflows to deliver real-time fraud analytics. Triage alerts effectively, and build a robust AML infrastructure to prevent reputational and financial damage.
Adapt to new and evolving money laundering tactics and techniques; stop fraudulent activities in real time.
Automatically receive linked accounts and suspicious attributes to accelerate investigations.
Bridge the gap between machine learning techniques and compliance requirements with human-understandable reasons.
DataVisor partnered with a top U.S. credit card issuer to deliver a scalable solution to fight application fraud.
Learn how financial institutions are successfully saving millions in the fight against fraud.
Detect, deter, and defeat known and known money-laundering attacks.
AI-powered fraud management solutions have risen up to offer substantive answers to the challenges of pervasive money-laundering, and these new tools and technologies are uniquely capable of detecting even the most sophisticated networks. Discover how your organization can detect attacks, manage…
Access proprietary data and research results to discover the latest attack techniques and prevention strategies.
Download the Q1 2019 Fraud Index Report from DataVisor to receive unparalleled data-driven insights into the latest attack trends, and the most effective prevention strategies, based on analysis of over 44 billion events, 800 million users, 396 million IP addresses, and more.
Learn more about how DataVisor uses unsupervised machine learning to reduce false positives and false negatives.
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