Liveness detection

Liveness detection is a technology used to verify if a user is a real, live human being during the identity verification process. It is crucial because it prevents sophisticated fraud attempts, such as 3D masks, deepfakes, and injection attacks, ensuring that only genuine user interactions are allowed. This technology is essential for protecting businesses from identity fraud while providing a seamless user experience.

Veridas uses both active and passive liveness detection techniques to prevent fraud. Our active detection method requires users to perform randomized movements, making it harder for fraudsters to use fake representations. Meanwhile, passive detection analyzes subtle facial movements and patterns to detect deepfakes and other spoofing attempts without requiring user interaction. Both methods are certified to the highest standards and are highly effective against a wide range of attacks, including presentation, deepfake, and injection attacks.

Veridas’ technology effectively prevents:

• Presentation attacks: Blocking attempts using 3D masks, realistic dolls, and printed photos.
• Deepfake attacks: Identifying AI-generated forgeries by analyzing facial movements and features.
• Injection attacks: Detecting anomalies in pre-recorded or manipulated media streams to prevent unauthorized access.

Veridas offers comprehensive fraud prevention with unmatched certification and proprietary technology:

• Comprehensive Fraud Prevention: Detects presentation, deepfake, and injection attacks.
• High Certification Standards: Certified at iBeta Levels 1 and 2 for both active and passive liveness detection in native and web environments.
• Proprietary Technology: Developed entirely in-house, ensuring maximum reliability and control.
• High NIST Ranking: Consistently ranks high in NIST PAD evaluations, demonstrating superior performance.
• Seamless Integration: Supports web, mobile, and social media SDKs for easy implementation.
• Superior User Experience: Ensures fast and accurate verification without manual reviews.

Veridas’ technology supports both native and web environments, ensuring robust protection and seamless identity verification across all devices. This capability allows businesses to maintain consistent security standards and fraud prevention measures across various platforms, including mobile apps and websites.

• Active Liveness Detection: Requires users to perform a series of random movements to verify their presence. This method ensures maximum security and compliance.
• Passive Liveness Detection: Verifies user authenticity by analyzing subtle facial patterns and movements without requiring any specific actions from the user, providing a seamless user experience.

Veridas’ advanced liveness detection technology combats deepfake attacks by analyzing subtle nuances and inconsistencies in facial movements and features. This analysis helps distinguish between real users and AI-generated forgeries, providing robust protection against these emerging threats.

Our technology detects injection attacks, such as the use of pre-recorded or manipulated photo/video streams, by identifying anomalies in the data stream. It prevents unauthorized inputs, ensuring only live interactions are verified and maintains the integrity of the identity verification process.

Veridas’ liveness detection technology is certified at iBeta Levels 1 and 2 for active and passive methods in native and web environments. These certifications demonstrate our commitment to maintaining the highest security and fraud prevention standards.

Veridas offers web, mobile, and social media SDKs and Plug&Play solutions for easy implementation. Our solution is designed for seamless integration, ensuring a smooth user experience while maintaining high security standards across all platforms.