LexisNexis Risk Solutions, a subsidiary of the company hat created the world’s most widely used system of computer-assisted legal research, has been granted a license by the Nevada Gaming Commission to provide identity verification, authentication and geolocation services in the state.
Nevada gaming companies can now select LexisNexis Risk Solutions to help them comply with gaming regulations, build robust anti-money laundering (AML) compliance workflows and thwart underage gambling.
To date, the U.S. gaming sector has been fined hundreds of millions of dollars for AML deficiencies. Online gaming companies have sought world-class patron identification processes to operate efficiently and profitably while complying with state gaming regulations and avoiding fines. Gaming companies have to balance multiple and, in some cases, conflicting objectives.
“Patron identification and geolocation tools are essential components of gaming operations,” explained Rick Trainor, CEO, business services, LexisNexis Risk Solutions. “Workflow integration is key to operational efficiencies. Our identity management products are integrated with our gaming solutions that address the AML compliance needs of online and land-based gaming operators in the U.S. and worldwide.”
Global data coverage is another crucial element, because even domestic gaming operators need international data. LexisNexis will now provide Nevada gaming licensees have access to the same identity management products used by some of the world’s largest banks and other businesses, which use LexisNexis Risk Solutions tools to help them meet AML compliance obligations and prevent fraud.
LexisNexis Risk Solutions has a long history of providing services to the gaming industry. It has been advising and creating solutions for brick-and-mortar gaming companies for more than a decade, helping casinos stay in compliance with complex industry regulations. In addition, global gaming companies turn to LexisNexis Risk Solutions to gain assistance with credit decisioning and customer data management.