Facial biometrics offer unique opportunities to securely and inclusively expand digital access to high-value services.

Used as part of a consent-based face verification strategy, facial biometrics can significantly improve the customer experience for all approved users while at the same time mitigate the risk of illicit activities. 

To achieve the dual benefit of inclusivity and fraud mitigation, facial biometric technology must be designed with inclusivity in mind. Factors such as age, gender, cognitive ability, socio-economic conditions, and racial diversity should all be equal priorities. By adhering to inclusivity by design principles within biometric platforms, we can create resilient systems that benefit users, regardless of their background, while nurturing trust and respecting privacy.

Coupled with science-based liveness capabilities, facial biometrics can be instrumental in defeating Generative AI-based attack methodologies, including deepfakes, face swaps, and synthetic identities, without unintentionally introducing new bias or accessibility barriers. 

Facial biometrics that are designed with inclusivity in mind and Generative AI resilience provide organizations with the unique opportunity to drive financial inclusion, ensure social services are delivered to the appropriate individuals, and even provide remote access to humanitarian services.

Watch this webinar, featuring Joe Palmer, Chief Innovation & Product Officer at iProov and guest speaker, Merritt Maxim, VP, Research Director at Forrester Research, and , to learn more about:

  • Why biometric face verification is more accessible, inclusive, and usable than traditional security methods
  • How to ensure you mitigate bias across diverse user bases
  • Inclusivity by design: best practices to achieve equity and consistently high performance
  • How not all biometric systems are created equal, and what capabilities provide resilience against sophisticated attack methodologies using generative AI