FinAuth

FinAuth is a leading identity verification solution that uses advanced AI, specifically Large Visual Models, to help businesses with important tasks like Know Your Customer (KYC) checks, verifying identities, and managing risks. It is designed to be a strong defense against fraud while making the process smooth for users.

Benefits

FinAuth helps businesses increase their revenue by making identity verification successful more often, which lowers the cost of getting new customers. It also makes users happier by offering a great interactive experience that protects their privacy and works smoothly. The system is fast, with quick response times and accurate recognition. Even in difficult lighting situations, FinAuth's technology works well, with over 99% of users passing the checks.

Use Cases

FinAuth can be used in many ways to verify identities and prevent fraud. It works on mobile apps for Android, iOS, and HarmonyOS, including on phones, tablets, and other devices. It also supports popular platforms like WeChat, Alipay, and Douyin Mini Programs, as well as web browsers and in-app webviews. Key capabilities include detecting deepfakes, recognizing information from documents using OCR, analyzing visual data for risks, and ensuring the user is a real person through liveness detection. It can identify various types of attacks, including forged IDs and AI-generated fake faces. The system also checks for risky device behavior and analyzes visual cues like accessories or clothing to assess risk. FinAuth can automatically extract data from documents, potentially cutting costs by up to 70% and speeding up operations.

Vibes

FinAuth is committed to protecting privacy and has earned several certifications, including GDPR, ISO 27001, ISO 27701, ISO 30107, ISO 9001, and ISO 20000.

Additional Information

FinAuth's AI is trained on specific industry fraud patterns and past fraud data, allowing it to assess risks quickly with a 98.6% success rate. Its multi-layered risk control strategies, combining AI models, blocklists, and anti-injection measures, achieve a 99.2% attack detection rate. The system also uses randomized challenges combined with device-specific factors to block 99.5% of device-level fraud attempts. Different finance-grade liveness detection methods are available, including Flash, Active + Flash, 3D, Active, and Intent liveness detection, all designed to stop various spoofing techniques like video injection and screen replays.