eBook: Guard Your Online Marketplace Against Fraud

At online marketplaces, fraud begins with an account and ends with reputational and financial damage. In our latest ebook, we explore the life cycle of a fraud attack, beginning with account takeover and mass registration and ending with a huge range of attack types - spam, scam, and everything in between.

DataVisor Fraud Index Report: Q3 2018

The DataVisor Fraud Index Report provides unprecedented insight into the latest attack trends and attack techniques that bad actors use to conduct malicious activities and evade detection.

5 Tips for Keeping Your Marketplace Safe

Consumers are spending an increasing amount of time shopping and interacting online, on everything from social networks to p2p marketplace or e-Commerce websites. Learn how fraudsters target your users online with spam and fake reviews and how you can protect yourself with the latest AI and Big Data technologies.

DataVisor Fraud Index Report: Q2 2018

The DataVisor Fraud Index Report provides unprecedented insight into the latest attack trends and attack techniques that bad actors use to conduct malicious activities and evade detection.

PYMNTS Digital Fraud Tracker Sep ’18

PYMNTS.com's Digital Fraud Tracker, powered by DataVisor, covers the latest trends and news in financial fraud and security. This month's Tracker features Ally Bank on how to put customers in control of their security and how AI & Machine Learning can be used to fight financial fraud.

ThePaypers Open Banking Report 2018

ThePaypers analyzes the nascent landscape of Open Banking in Europe, covering the technological, legal, and operational challenges that banks, merchants, and vendors must address.

eBook: Keeping Up with Fraud in Digital Banking

Are you ready to tackle new forms of financial fraud attacks? Online banking and digital wallets have opened up a floodgate of new attack vectors for fraudsters to develop newer and never before seen threats that are fast evolving and massive in scale.

DataVisor Fraud Index Report: Q1 2018

The DataVisor Fraud Index Report provides unprecedented insight into the latest attack trends and attack techniques that bad actors use to conduct malicious activities and evade detection.

Financial Fraud

Learn more about how DataVisor uses unsupervised machine learning to protect financial institutions from fraudulent transactions and bank account openings created with synthetic or stolen identities.

eBook: Taming the AML Beast

This ebook discusses how financial institutions can address some of the shortcomings of existing AML alerting tools to detect the ever more sophisticated money laundering networks.

Social Commerce Fraud and Abuse

Read this datasheet to learn more about how DataVisor uses unsupervised machine learning to find malicious accounts lurking within consumer-facing websites and apps.

App Install Fraud Case Study

DataVisor has partnered with one of the most well respected gaming companies in the world, with a massive install base of more than 300 million users across 180+ countries, to help them fight user acquisition fraud.

Transaction Fraud

Read this case study to learn how DataVisor help saved the financial institution millions of dollars of transaction fraud per year.

Learn how Yelp Stops Fake Accounts with DataVisor

Watch this recording of a webinar hosted by Julian Wong, Technical Architect at DataVisor, and his special guest, Jim Blomo, Director of Engineering at Yelp, to learn how Yelp stops fake users while connecting people with local businesses.

The Latest Trends and Techniques in User Acquisition Fraud

In this webinar recording, Kohki Yamaguchi, product manager at DataVisor, shared the recent findings from our latest DataVisor Threat Labs report where we analyzed data from our Global Intelligence Network consisting of more than 491 ad networks, 140 million app installs and 11 billion user events

The Underworld of App Install Advertising

The Underworld of App Install Advertising Report provides unprecedented insight into the most recent fraud techniques and attacks patterns in mobile user acquisition advertising.

In-App Purchase Fraud

DataVisor recently partnered with one of the largest gaming companies in the world to protect them from fraudulent in-app purchases and promotion abuse.

Promotion Abuse

Read this case study to learn how DataVisor detected millions of fraudulent accounts with 99%+ accuracy.

Guide to Hiring a Fraud Team

In this white paper, DataVisor architect Julian Wong shares his thoughts on key traits to look for in a candidate when hiring and building a fraud/risk analyst team, as well as how to create a setting to optimize your team’s value.
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