AI is now on both sides of the gambling identity check
Blog post from Didit
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Britain’s Gambling Commission 2026 statutory assessment identifies increasingly sophisticated attempts to bypass gambling-sector KYC checks using AI-generated documents, deepfake videos, and face swaps, although it provides no figures on the scale or success of those attempts. False or stolen identity documentation remains rated at the highest risk level, while gambling software was the only sector whose overall money-laundering risk rating rose, from low to medium, due largely to risks associated with supplying software to unlicensed operators. The assessment does not introduce new licence conditions or address age verification, but operators must consider it in their own risk assessments under existing rules requiring verification of customers’ identity before gambling. Separately, the Commission’s enforcement director warned that AI tools adopted by operators for anti-money-laundering and identity checks are too often not demonstrably effective, emphasizing that digital identity technology can support compliance but does not replace broader regulatory responsibilities. The discussion argues that firms should be able to evidence the effectiveness of their controls, while presenting Didit’s document, chip-reading, liveness, face-matching, and proof-of-address products as tools that can address elements of the risks described without independently ensuring compliance.
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