Cookieless Device Identification.
Stop more fraud across any web-enabled device including PCs, smartphones and tablets. Identify return visitors, even when they are taking steps to hide by wiping cookies, using private browsing and proxies. Take your fraud prevention to unprecedented levels of control, managing risk from the cloud across account creation, login authentication and transaction authorization. Get cost effective, ubiquitous deployment through secure web APIs, cloud-based portal configuration–all at Internet scale with global reach.
ThreatMetrix SmartID Demo
Detect fraudsters when they wipe and block cookies.
ThreatMetrix supports two separate and distinct approaches to identify devices. ThreatMetrix SmartID improves your ability to detect returning visitors, especially those trying to elude identification and reduces false positives. ThreatMetrix ExactID relies on a variety of persistent markers (browser cookies, Adobe Flash cookies, HTML 5 local storage) that allow ThreatMetrix to 100% accurately identify a device.
ThreatMetrix SmartID is based exclusively on device attributes. Because two or more devices may have similar attributes, and because a device’s attributes will change over time due to upgrades and regular use, SmartIDs have a corresponding confidence score to indicate how reliable the Smart ID is. ExactIDs are “global,” allowing ThreatMetrix to track suspicious activity across ThreatMetrix customers, whereas SmartIDs are applied within a ThreatMetrix customer.
In most cases, returning good customers will get both the same ExactID and SmartID. Over time, as they upgrade and change their device naturally, the SmartID confidence score will go down. Returning fraudsters (take steps to elude identification such as wiping cookies) will get new ExactIDs when they return, but their device can be identified by their SmartID. Both identifiers can correlate seemingly unrelated transactions by the device.
Some of the new features include:
- Enterprise Risk Engine
- Global Network Intelligence
- Queue Management
- Customizable Alerting
- Online Portal and Dashboard for Transaction Monitoring and Link Analysis
- Bulletproof Security and Privacy Protection
Be smarter at identifying smartphones, iPhones, iPads and popular mobile devices.
Get the handle on smartphones, iPhones, iPads and popular mobile devices. Improved support for identifying mobile devices (iPhone, Droid, iPad). ThreatMetrix collects more device attribution from more sources, including Silverlight and HTML5 which allows for more accurate device identification across more kinds of devices.
Get more device attributes and more rules so you can catch more fraud without more false positives.
Now you have more flexibility and control to define and fine-tune transaction risk scoring. This release provides several important new rules and over twenty new device attributes and anomaly flags that help you detect and prevent more fraud. For example, we’ve added an age rule that allows you to determine how long it’s been since you’ve seen a device.
Do all of these features work with all transaction types?
Yes, all features are available for new account origination, authentication and web payments.
Do the features impact real-time performance?
No. In fact with this release we’ve increased real-time performance by as much as 40%.
Does the new release introduce any requirement to collect personally identifiable information (PII) from web visitors?
No, all of the additional attributes we collect in this release are anonymous device data.
Do the features come standard with the ThreatMetrix Cybercrime Defender Platform?
Yes, all of the features are integrated with risk engine, rules management, analytics and device identification delivered in “the Cloud.”
The burning issue with cookies isn’t about privacy at all—it’s about the death of the cookie as a usable way to identify a device. What do your website visitors have to hide when they visit your website? If they block or delete cookies they might be legitimate customers who don’t want to be tracked going from Web site to website—and stalked by advertisers who want to target them by their online shopping habits. Or they could be fraudsters with a pile of hijacked credentials and stolen credit cards ready to engage in a virtual online crime spree. The former simply want to stay off the advertising grid, using widely available tools such as private browsing in FireFox or periodically wiping cookies. The latter will go to much greater lengths to avoid detection by the identity of their device (computer, smartphone, iPad, etc.), using software tools and methods that typical consumers would never employ. [read more]
