ThreatMetrix detects fraud and recognizes returning customers based on anonymous data mined from a visitor’s computer and TCP/IP packets, then matches it in real-time against a global collection of data previously profiled computers and their transactions.
Drawing upon hundreds of anonymous characteristics from a web transaction and analyzing them in real-time, ThreatMetrix reveals hidden truths about the device visiting your web site to help you decide whether to trust the computer to create a new account, use a credit card or login. ThreatMetrix extracts and makes use of the stores of static and dynamic data managed by browsers, operating systems, and TCP/IP packets to establish a unique identity and assess the risk in a web transaction in real-time.
How ThreatMetrix Helps Stop Web
Fraud and Enables E-Commerce Video
ThreatMetrix helps you address questions such as:
- Has the device visited your website before, and is it white-listed or blacklisted?
- Have others on the ThreatMetrix Fraud Network seen this device and what was their experience with it?
- What do we see that’s out of place, missing or inconsistent in the transaction data?
- What behavior can we observe from this device that sheds light on risk?
- What else can we learn when I correlate the device information with my information? (For example, did this device attempt to use five credit cards in three minutes?)
- Has this computer been used in a botnet?
- Is the device in a location that’s different than where it claims to be—even if it’s hiding behind a proxy?
