Passive Liveness API: Combatting Fraud in Mexico
Blog post from Didit
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Mexico’s expanding digital economy is accompanied by increasing online fraud across finance, e-commerce, and social platforms, including threats from deepfakes and synthetic identities that can evade traditional document and facial-recognition checks. Passive liveness detection addresses these risks by analyzing facial images or video feeds in the background to determine whether a real person is present, avoiding the user actions required by active methods and reducing onboarding friction. The text presents Didit’s AI-native platform as a modular identity-verification solution combining passive and active liveness detection, document verification, and 1:1 face matching to help organizations identify fraudulent users while integrating with existing workflows. It also emphasizes selecting reliable providers, prioritizing smooth integration and user experience, and continuously monitoring systems as fraud techniques evolve, while noting that Didit offers a free tier and demo for evaluation.
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