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August 4, 2021 - Edward Applebaum

Leverage Device Intelligence for Mobile-First Fraud Prevention

Fraud comes from every angle, and mobile devices have quickened the pace at which criminals can carry out their illicit activities. Today, everything from account takeovers, identity theft, transaction fraud, and promo abuse can be carried out via mobile devices. The rise of fraudulent attempts via mobile channels illustrates just how important it’s becoming for companies to consider mobile-first fraud protection in their strategies. 

For many companies, though, this approach seems easier said than done. Challenges abound when identifying and preventing mobile attacks, especially as many tools simply can’t address the size and speed at which attacks occur. The worst part is that until businesses are able to successfully implement mobile fraud prevention, criminals will continue to exploit these channels at the expense of the business and its customers.

Why Mobile Fraud is Hard to Detect and Prevent

Mobile fraud comes with unique challenges and considerations that make it difficult for companies to effectively detect and prevent it. Some examples include:

The Scale and Speed of Mobile Attacks

Bots and automation are commonly used to carry out mobile attacks, allowing fraud attempts to proliferate quickly. Many businesses simply don’t have the human or technology resources to stop the scale and speed of fraud, which often means trying to address activities after they have already occurred.

Obscured Device Information

Emulators, botnets, and VPNs can hide user activity and allow fraud to be carried out under the radar. Fraudsters can also reset their devices and change device information to avoid having activities traced back to them. Without accurate device intelligence, companies’ efforts to stop mobile fraud will largely be ineffective.

Our guide, Fight Fraud in a Mobile-First World with Device Intelligence, shares more details on the challenges of mobile fraud detection.

How Device Intelligence Augments a Mobile-First Fraud Protection Strategy

Fighting back against rapidly evolving mobile fraud attacks requires two things: real-time insights and the ability to detect device IDs with confidence, even if fraudsters attempt to conceal their activities. 

DataVisor’s Device Intelligence is designed to fight mobile fraud by gathering extensive device information and assigning each device a unique ID. This ID never changes, even if fraudsters delete and reinstall apps or are using emulators, VPNs, or other tools to conceal their identities. 

Device Intelligence assigns every device a fraud risk score and assesses a myriad of other risk signals to stop attacks in their tracks. It can detect a number of threats that traditional fraud tools may miss. These include rooted or jailbroken devices, emulators, app cloners, repackaged apps, VPNs, and botnets. 

DataVisor’s mobile-first fraud protection tools are driven by machine learning and help companies fight fraud at scale and in real time.

The result is that companies can take early action against fraud with greater confidence without causing unnecessary friction for good customers. 

See how DataVisor’s Device Intelligence works when you download our latest guide: Fight Fraud in a Mobile-First World with Device Intelligence.

Photo of Edward Applebaum
about Edward Applebaum
Edward Applebaum is an experienced professional in Financial Crimes. As Head of Sales — East Area North America and EMEA, Edward works with Fortune 500 enterprises and financial institutions to fight risk and fraud with cutting-edge AI technologies.
Photo of Edward Applebaum
about Edward Applebaum
Edward Applebaum is an experienced professional in Financial Crimes. As Head of Sales — East Area North America and EMEA, Edward works with Fortune 500 enterprises and financial institutions to fight risk and fraud with cutting-edge AI technologies.