M1. Introduction.

This module introduces the essentials of biometrics, covering what they are, the main modalities, and why organizations choose to use them. It includes brief examples of sector use cases and highlights how regulations shape responsible deployment. The session concludes with a concise look at key market trends influencing current adoption and innovation.

M2. Considerations.

The module reviews core factors behind effective biometric implementations, including key design pillars and the difference between identification and authentication. It highlights major risks such as presentation attacks and AI driven threats like deepfakes. Interoperability needs, user journey design, and the importance of inclusive performance across demographics are also addressed in a streamlined way.

M3. Good practice guidelines.

This session focuses on practical guidance for deploying biometrics successfully. It outlines best practice expectations across the project lifecycle, from requirements and data capture to deployment and ongoing monitoring, and includes recommendations for strengthening systems against AI enabled fraud.