Video summary
Keyless Presentation at Gartner IAM Summit 2021
Main summary
Key takeaways
Summary (tech concepts, product features, analysis)
Problem & trend focus (identity / strong authentication)
- Enterprises are rapidly moving toward passwordless authentication because passwords and weak credentials account for most breaches (noted as >80% from lost/stolen/weak credentials).
- A central tension remains the trade-off between:
- User experience (convenience)
- Security and privacy, including reducing account takeover, phishing/fraud
- Support for increasingly distributed work and heterogeneous devices
Proposed direction: “zero knowledge biometrics” & user-controlled identity
- Keyless proposes a privacy-preserving approach called zero knowledge biometrics.
- The goal is identity verification across any device/touchpoint via a simple camera-based look.
- The system aims to do so without processing or storing biometric templates/PII centrally.
- It also points toward a broader evolution of identity:
- Decentralized, user-centric identity management
- Selective disclosure using cryptography and public-key infrastructure concepts
Why current biometrics are limited (local vs. centralized)
- Local/on-device biometrics (e.g., secure enclave storage) are:
- Hard to use universally across devices
- More like “unlocking a device/token” than identifying the person globally
- Potentially insufficient for requirements around universal identity compliance and security
- Central biometric matching can improve universality, but introduces:
- Privacy and compliance concerns, since it requires storing biometric data in a central database
Keyless approach: privacy-enhancing cryptography + biometric signals
Keyless combines multiple techniques:
- Zero-knowledge proofs to prove device trust
- Neural networks / on-device ML to transform biometric signals into irreversibly encrypted opaque objects
- Secure multi-party computation (SMPC) and distributed cryptographic protocols to derive a usable credential
Outcome: it deterministically reconstructs a private key for one-time actions such as:
- Logging into an enterprise app
- Connecting to SSO
Crucially, it claims this avoids storing biometric data and secret key material:
- on the device
- or in centralized infrastructure
“Omnichannel biometrics” / multi-factor without extra hardware
- Authentication is described as omnichannel, working across devices/platforms (independent of OS/hardware).
- It uses passive facial recognition with strong liveness detection, explicitly claiming resistance to video/picture spoofing.
- It adds behavioral characteristics (how the user interacts with the device) as an additional factor.
Multi-factor composition:
- Factor of possession: trusted device identity proven via zero-knowledge proof (device secret; not user biometrics)
- Inherence/identity: live biometric + behavioral pattern captured via the camera
- No passwords remembered and no extra token required
Product/solution scope (workforce + consumer)
Workforce authentication suite (employees)
- Passwordless MFA to SSO
- Desktop MFA for Windows/workstations using:
- a companion device/push notification, or
- the built-in laptop camera (no additional hardware)
- Remote login for:
- VPNs
- remote desktops
Consumer / regulated use cases
- Delivered as an SDK
- Focus on PSD2 / Open Banking “Strong Customer Authentication”
- Enables frictionless onboarding + ongoing MFA, with adjacent cases such as digital signatures
Claims on compliance & privacy
- Strong emphasis that the system:
- does not process personal identifiers
- involves no PII in the authentication pipeline
- Claims it is compliant and “far exceeding” regulations like GDPR because it removes the central burden of storing sensitive biometric/PII data.
Deployment & partner integrations (examples & reported speed)
- Education: Lewis University + Cisco
- Remote exam proctoring/authentication from students’ homes
- Reported as higher assurance than local device biometrics
- Banking / VPN: European bank
- Remote workforce VPN authentication using standard RADIUS integration
- Deployed in hours; live within a day for ~1,000 employees
- Telco / cloud edge acceleration: work with global telcos + Amazon
- Claims to reduce authentication latency/download delays to milliseconds
- Uses mobile edge computing / 5G-enabled architecture with distributed, decentralized computation
Overall market framing & “personal identity management”
- Frames the technology as biometrics-enabled key management and personal identity management using:
- zero-knowledge proofs
- selective disclosure
- Positions the shift from managing many passwords to managing keys tied to the individual as a major opportunity/challenge the approach is designed to solve.
Main speakers / sources
- Speaker: Fabian — Co-founder of Keyless (presenting at/for Gartner IAM Summit 2021)