FIDO standards for automotive use cases
summary
Panel argues FIDO-aligned, on-device biometrics (face, voice, iris) power in-car identity while avoiding cloud latency; Qualcomm platforms and delegated SCA tie biometric attestations into payment networks. Demonstrated use cases include frictionless parking and toll payments, per-occupant personalization, and a menu-recommendation system trained across 100,000+ restaurants using generative AI. Security example: a Kia dealer-account exploit shows cloud-to-car gaps. Emphasis is on identity continuity across phone, car and cloud rather than replacing the phone.
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chapters (17)
- 0:00Introduction and panel setup
- 2:24Panelist introductions and roles
- 5:15User-focused automotive applications
- 7:02In-vehicle payment use cases
- 8:26Car vs phone: key differences
- 12:37Multi-user authentication in vehicles
- 16:28Biometrics in automotive environments
- 20:22Geographic differences in authentication
- 23:57Revenue opportunities beyond payments
- 27:29Phone-car relationship and identity continuity
- 32:25Biometric processing: on-device vs cloud
- 33:51Privacy in payments and identity
- 37:03Authentication quality for different use cases
- 40:15Cybersecurity and vehicle vulnerabilities
- 41:20Generative AI in automotive experiences
- 46:16Tokenization and blockchain in identity
- 47:59Closing remarks and thanks
