eKYC-AI Face Shield Launch Announcement
Last updated: 2025-03-19 16:57:05
eKYC-AI Face Shield is now available.
AI Face Shield is an advanced face anti-spoofing solution specifically designed to combat Deepfake and other AIGC attacks, including face swapping, expression-driven manipulation and others. Leveraging a multimodal foundational model with integrated semantic understanding and self-learning capabilities, the system continuously enhances its defense mechanisms to counter the evolving attack vectors and effectively prevents organized fraud.
Accessible via API endpoints, the service analyzes input images/videos to provide:
Risk Assessment
Attack Classification
Core Advantages
Robust Anti-Fraud Algorithms
AI Face Shield utilizes LLM empowered multimodal models, to significantly improve generalization and robustness through enhanced semantic analysis, addressing limitations of traditional computer vision models that struggle with the latest forms of AIGC attacks.
Advanced Self-Learning Technology
By leveraging automated clustering algorithms, AI Face Shield proactively identifies and categorizes malicious attack patterns, enabling preemptive interception of coordinated fraud attempts, by exploiting similar background, clothing or lighting features. This system specifically counters organized cybercrimes that exhibit similar attack signatures through pattern recognition and clustering-based threat mitigation.
Proven Threat Analysis Ability
Youtu Lab trained using over 200 state-of-the-art AIGC techniques and millions curated data samples. This system further strengthens real-world adaptability by leveraging Tencent's vast cybersecurity infrastructure, analyzing billions of daily API calls to dynamically identify emerging cyberattack patterns, thereby demonstrating unprecedented robustness against evolving digital threats.
Seamless Integration
Delivering risk assessment and attack patterns through seamless API integration with existing eKYC systems or via unified Mobile SDKs (iOS/Android), AI Face Shield empowers development teams to accelerate vulnerability remediation while enforcing deepfake-resistant authentication protocols for enterprise-grade threat mitigation.
Industry Recommendation
Banking
AI Face Shield integrates with remote account opening systems and mobile banking apps to detect deepfake and other AIGC attacks during facial verification.
E-Payment
AI Face Shield defends against deepfake attacks in e-payment scenarios by leveraging multimodal understanding and self-learning to block AIGC threats (e.g., face-swapping, expression manipulation) in real time. It detects anomalies (e.g., synthetic expressions) via user face analysis, triggers transaction blocking or re-verification, and continuously evolves to counter emerging attack patterns, reducing fraud risks and boosting trust.
Telecom Operator
During remote onboarding, AI Face Shield identifies deepfake-based identity fraud. Its background clustering mechanism dynamically recognizes attack patterns, improving success rate in intercepting illegal SIM registrations.
Insurance and Securities
For insurance underwriting and securities account opening, AI Face Shield detects both real-time spoofing and pre-recorded AIGC forgeries, generating risk assessment and attack categorization.
Integration Guide
The AI Face Protection Shield is accessible via cloud API integration. Refer to the AI Face Protection Shield API Documentation for details.
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