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.
Online marketplaces with product listings and customer reviews require moderation to maintain integrity.
Social messaging platforms require 24/7 vigilance to filter out spam and inappropriate content.
Enterprise companies need scalable technology to detect and eliminate malicious user-generated content, before irreversible damage occurs.
Detect fake listings and reviews the moment they’re posted. Safeguard your brand, control your content, and deliver great customer experiences.
Identify and remove spammers within two days of sign-up. Spot spam content with the fastest detection rate in the industry. Protect your brand image and user experience from being compromised by corrupt or irrelevant outgoing spam links.
Weed out bad users and promote positive customer experiences. Reward loyal customers, users, fans, and followers who enjoy a frictionless experience.
Learn how Yelp stops fake users with DataVisor’s fraud solutions, and connects real users with great businesses.
DataVisor has partnered with Momo for more than two years to help them take on fraudulent account creations and compromised accounts.
Discover how your organization can benefit from BBVA’s unconventionally successful approach to fraud management.
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.
Rules engines, machine learning models, ID verification, or reputation lookups (e.g. email, IP blacklists and…
Rules engines, machine learning models, ID verification, or reputation lookups (e.g. email, IP blacklists and whitelists) and unsupervised analytics? I’ve often been asked which one to use and should you only go with one over the others. There is a place for each to provide value and…
Visit Intelligence Center