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Safeguarding has reappeared as a focal point for the regulator. In July of this year, ANJ imposed a €500,000 ($572,797) fine on an unnamed online betting operator, referred to as Company X, for not adequately identifying and supporting customers exhibiting signs of problematic gambling. 

The fine followed an investigation that found Company X had failed to correctly identify 29 high-risk players at an appropriate risk level. Six players were missed entirely and 23 were misclassified at a lower risk tier. 

The regulator also launched a public awareness campaign earlier this year during the 2026 World Cup to warn of potential gambling addiction risks associated with increased sports betting during the tournament. 

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While Nevada is considered the top gaming state in the US, its regulatory framework related to technology has been seen as slow-moving and cluttered in comparison to other up-and-coming jurisdictions around the US. Ever since NGCB Chair Mike Dreitzer took over last June, modernisation has been a top priority, and these latest revisions are an extension of that.

“We finally got to a point where we said, you know what, let’s drop all our other efforts right now and get these over the finish line and get them up for comment so that we can make sure that we’re current with things,” Jeremy Eberwein, chief of the board’s Technology Division, told iGB.

The bulk of the work revolved around compiling and codifying the technical information in one place, Eberwein said. There were some existing Technical Standards, but other requirements lived in the state’s Minimum Internal Control Standards, which are a broad mix of technical and procedural requirements.

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The first was direct marketing (emails, texts, push notifications). Citing randomised studies, the committee noted that limiting direct marketing resulted in reduced betting and fewer short-term harms. 

Referencing an Australian study on direct marketing and its link to gambling harms, Dr Philip Newall, senior lecturer at the University of Bristol noted that “causality was established by getting a random subset of participants to opt-out of receiving direct marketing offers”.

It was found that “this group then self-reported significantly lower expenditure and harms [ … ] over the next two weeks”.