Fraud Detection
Aye needed to prove that face-based payments could resist photos, videos, deepfakes, masks, and replay attacks while still delivering a smooth checkout experience that merchants and end users would trust.
Reported impact
Aye strengthened trust in face-based payments, gained a stronger enterprise-security position with merchants, and built a foundation for expanding secure AI-assisted checkout across Southeast Asia.
Aye Solutions works with Tencent Cloud to make AyeFace, its face-payment and retail AI-agent platform, trustworthy enough for everyday checkout use. The core requirement is not just facial recognition accuracy but resilient liveness detection and identity verification that can withstand photos, videos, deepfakes, masks, and replay attacks without adding friction to the payment flow. Tencent Cloud contributes cybersecurity and biometric-technology expertise at large-user scale, and Aye uses that partnership as both a technical control layer and a credibility signal for merchants adopting face-based payments. The vendor relationship also includes 24/7 support from teams in Malaysia, Singapore, and the wider region, which helps Aye troubleshoot quickly as it expands across Southeast Asia. In practice, the solution blends biometric security controls with AyeFace's retail AI experiences so secure authentication and customer automation can grow together.
A customer initiates a face-based payment through AyeFace, biometric and liveness checks run against Tencent Cloud-backed controls, identity verification confirms the user, and the result feeds Aye's retail customer-service and sales-assistant experiences.
Aye must ensure its liveness detection and identity verification cannot be fooled by spoofs, deepfakes, masks, or replay attacks, while keeping authentication fast and seamless.
AyeFace empowers retailers with AI agents to handle customer service, act as sales assistants, and serve as virtual retail managers to boost sales and optimize resources.
Tencent has more than a thousand employees working on the biometric cybersecurity topic, which is why Aye works closely with Tencent Cloud to ensure Aye provides valuable and secure solutions to customers.
With Tencent’s cybersecurity technology—proven at the scale of billions of users—Aye gains immediate public trust and confidence in our face-based solutions.
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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