Question: Can you recommend a facial recognition system that prevents fraud and spoofing attacks in various industries?

If you need a powerful facial recognition system to thwart fraud and spoofing attacks in a variety of markets, Facia is a good choice. It provides a range of services including face recognition, liveness detection, face matching and iris recognition. Facia offers 100% protection against deepfakes and injection attacks and can be used for a variety of use cases including account deduplication and access control. The platform is GDPR compliant and has data privacy and security as a top priority, making it suitable for retail, government, healthcare, education and financial services.

Another contender is Yoti, which offers advanced facial recognition along with automated document verification and AI-based liveness detection. Yoti is designed to deliver high success rates and minimize bias in identity verification while maintaining strong security and privacy. It can be integrated with more than 70 popular SAAS products and is used by regulated businesses and governments including Lloyds Bank and Instagram.

If you're looking for a more complete fraud detection system, check out Verisoul. It automates manual processes and consolidates vendors to thwart a range of fraud attempts, including repeat sign-ups and payment fraud. Verisoul's AI-driven investigation analyst and automated workflows significantly reduce manual reviews, and it's flexible enough to accommodate industries that need strong fraud prevention.

Last, Incognia offers an identity service that combines persistent device fingerprinting and indoor location intelligence. It can identify users across multiple devices and spot signs of fraud like location spoofing and app tampering. Incognia is good for financial services and ride-hailing, and it offers more than 99.9% accurate user recognition and a major reduction in fraud.