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.
Discover advanced strategies for managing the rapidly-evolving fraud attacks plaguing the modern banking sector.
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.
DataVisor has partnered with Momo for more than two years to help them take on fraudulent account creations and compromised accounts.
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.
Delve deep into proprietary research to ensure your organization stays ahead of malicious threats.
Access proprietary data and research results to discover the latest attack techniques and prevention strategies.
Learn from leading experts in the fields of AI, machine learning, and fraud prevention as they provide rich insights on fraud trends and solutions.
Understand the range of modern fraud attacks to ensure complete coverage for your organization.
Prevent malicious transactions conducted by new fake accounts or compromised existing accounts.
Block scripted bots from performing blunt force login attempts using hacked credentials.
Accurately and quickly detect the massive-scale use of bots to hijack legitimate accounts.
Meet scale with scale with the advanced fraud management solution that can detect even the largest, most complex, most cleverly disguised attacks. Combine advanced unsupervised machine learning models with enterprise workflows to neutralize bot attacks before damage occurs.
Protect your organization with a robust fraud detection solution that combines adaptive machine learning technology and powerful investigative workflows to deliver real-time fraud signals. Benefit from unrivaled domain expertise that informs every feature, and draw on the power of proprietary unsupervised machine learning algorithms to adapt to new and emerging fraud in real time.
Holistically analyze data to capture more fraud than less sophisticated systems, and significantly reduce fraud losses.
Combine unsupervised machine learning with aggregated global intelligence to reduce false positives and deliver frictionless experiences.
Identify clusters of linked accounts and group them by fraud pattern. Review sample cases, then confidently apply bulk decisions.
Learn how Yelp stops fake users with DataVisor’s fraud solutions, and connects real users with great businesses.
Gain unique insight into how Pinterest is relying on DataVisor’s AI-powered solutions to catch spammers early.
Organizations across industries are preserving online trust and defeating fraud with advanced machine learning solutions from DataVisor. This collection of case studies shows how clients in e-commerce, social, and financial services are defending their platforms against reputational and financial…
Discover how your organization can benefit from BBVA’s unconventionally successful approach to fraud management.
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.