Even after the implementation of EMV chip cards reduced the amount of counterfeit fraud1, payment networks and large issuers are still fighting an increase in card-not-present (CNP) fraud, with card fraud losses estimated to reach $32.82B in 20192.
With over 3PB of indexed data from deep and dark web sources and nearly 6TB parsed by our AI algorithm daily, CyberDetectER BINWatch crawls deeper and wider to unearth compromised card numbers with unrivaled speed.
Rich and Flexible Reporting
CyberDetectER BINWatch can leverage our deep and dark web data warehouse to provide a one-time “snapshot” as well as ongoing monitoring of the provided BIN/IIN range. Reports typically include:
- Date of detection
- Payment card number and expiration date
- Whether security code (CVC) was detected
- SHA1 Value
Unparalleled Collection Engine
Case Study: Fortune 100 Financial Services Company
Learn how CyberDetectER BINWatch helped a global financial services company identify 250 compromised cards from a single post on a TOR forum, minimizing potential fraud costs.Read More