Structured Identity Data: Stopping Multi-Account Fraud in Gaming
Blog post from Didit
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Multi-account fraud, commonly known as 'smurfing,' presents a significant challenge in the gaming industry by facilitating unfair competition, economic manipulation, and a degraded user experience. Traditional detection methods, often reliant on single data points like IP addresses or emails, are easily circumvented by sophisticated fraudsters who create multiple accounts using tactics such as VPNs and disposable emails. The use of structured identity data, which involves organizing and cross-referencing user information such as biometric, document, and contact details, is crucial in combating this issue. Didit offers an AI-native solution with a modular identity platform that includes tools like ID Verification, 1:1 Face Match, and a robust Blocklist feature, enabling platforms to effectively identify patterns, block repeat offenders, and prevent the creation of new fraudulent accounts. By implementing a multi-layered approach to fraud prevention, gaming companies can build a more secure environment, ensuring fairness and enhancing the overall gaming experience for legitimate users.
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